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Author: Imarticus Learning

How to Develop In-Demand Data Science Skills: Tips and Resources

Posted on by Imarticus Learning

Data science skills are business need in the coming age of digital economy. Whether you are current working individual or engineering college student, you have to get appropriate set of in-demand data science skills like any other professional individual so that you can achieve the high-level job in this competitive era. The demand for limited data science talent increases every day, and thus it is one of the future-proof and highest revenue-generating careers across the world. 

How Essential Data Science Skills Are?

Companies all over the world are making decisions, predicting trends, and viewing the world as data. That also poses more challenging tasks to skills of a critical nature. Companies are being enabled to do business with information in an improved way by data scientists in a way that organizations become enabled and form new ideas.

Skills Required for Data Scientists

You need to learn technical and soft skills to remain updated with this career. The top skills are:

  • Programming Skill: Python, R, SQL skill.
  • Data Cleaning and Processing: Data cleaning, processing skill, data handling using libraries like Pandas and NumPy.
  • Statistical Analysis: Basic stats, probability, hypothesis testing.
  • Machine Learning Basics: Knowledge of ML algorithms and usage of ML.
  • Data Visualization: Practical experience in creating dashboards with Power BI, Tableau, or Matplotlib.
  • Big Data Technologies: Practical experience in using Hadoop, Spark, or similar technology.
  • Communication: Practical experience in presenting findings from deep data to technical business decision-makers.

Technical data science skills are the flavor of the month. Imarticus Learning’s Postgraduate Program in Data Science and Analytics familiarizes you with domain-based learning of subject matter areas such as:

  • Python & SQL
  • Data Visualisation & Analytics
  • Power BI & Tableau
  • 25+ business project experience

Business-agnostic, and voila. You’re a master of the key skills of a data scientist.

Must-have Data Science Skills for Beginners

Beginners, you have to know these core skills to start with:

  • Python programming basics
  • Data wrangling using Pandas
  • Chart-based data visualisation basics
  • Probability & statistics basics
  • SQL database query

Our data science course provides seamless acquisition of these skills via live sessions and guidance.

Data Science Career Key Skills

Hiring managers in data science seek owners of pertinent knowledge to implement in real-world problems. The data science key skills for a data science career are:

  • Data storytelling: data insights as stories
  • Developing machine learning models
  • Business context
  • Data problem-solving
  • Knowledge of Python, SQL, and data tools

Top Data Science Skills Hired by Recruiters

Practice of top skills recruiters seek:

  • Pre-processing & data manipulation
  • Application of machine learning
  • Model testing & tuning
  • Stakeholder management & communication
  • Real-world project working experience

Learning Materials to Develop Data Science Skills

Acquisition of core skills includes exposure to quality learning materials. Some of the learning materials which are suggested include:

  • Web-based learning portals such as Coursera, Udemy, and Imarticus Learning
  • Industry case studies & industry project
  • Coding hackathons & coding contests
  • Experiential development environments such as Jupyter Notebooks

Why Imarticus Learning?

Our Postgraduate in Data Science and Analytics features:

  • 100% Job Guarantee with 10 assured interviews
  • Experiential job-focused curriculum
  • 25+ experiential projects
  • Practice on 10+ data science tools
  • Career mentorship by career mentors
  • Placement with 2000+ hiring companies
  • Industry-approved faculty

Career Prospects After Gaining Data Science Skills

Gaining the right skills can make you a:

  • Data Scientist
  • Data Analyst
  • Business Analyst
  • Machine Learning Engineer
  • Analytics Manager
  • Business Intelligence Specialist

Conclusion

Data science skills is your gateway ticket to a thrilling, future-proofed career. Invest wisely in training, key skills for data science jobs, and mentorship by Imarticus Learning, and you can purchase hot data science skills that will be in hot demand by employers. Up-skilling or fresh graduate, invest in yourself today and be the pioneer of data science professionals.

FAQs

1. What are the key data science skills?

  • Python/SQL coding, stats, data analytics, machine learning, and communication.

2. Can a novice learn fundamental data science skills?

  • Absolutely! Our course is specially tailored for beginners to develop proficiency right from the ground level.

3. How long before you’re a data science master?

  • You can acquire marketable skills and hands-on training with our 6-month duration.

4. Do I need technical skills for data science?

  • Technical skills, of course, but business administration and soft skills as well for us.

5. What are the top demanded data science skills of 2024?

  • Data wrangling, machine learning, data storytelling, and Python remain in demand even now.

6. How does Imarticus skill up applicants with data science skills of today?

  • With live lecture, project, mentorship, and interview assurance.

7. Does technical background remain a necessity for carrying out data science?

  • We need no technical background at all. We have a great study course within our program and are even student-focused.

8. Can I complete data science work anywhere on the globe?

  • In-demand Data science can be worked upon anywhere in the world, and we do prepare our students to be globally competitive as well.

9. What am I learning to apply in the program?

  • Python, SQL, Power BI, Tableau, etc.

10. What is the job guarantee?

  • We have 10 interview booking of interviews with 2000+ partners which can get you employed.

From Zero to Hero: Your Data Science Success Blueprint

Posted on by Imarticus Learning

In today’s data age, enrolling in a data science course is not only an educational process—it is a passport to entry into one of the most remunerative and fulfilling career options of the digital age. This course, as a career change or new college graduate, has the potential to turn you around from zero to hero by making you more hands-on, job-guaranteed, and analytics-confident.

The demand for data professionals is through the roof. Companies are making decisions on the basis of data more and more, and the world is in need of capable data scientists in increasing and increasing numbers every year. You have our Postgraduate Programme in Data Science and Analytics with a 100%-job-assurance-guaranteed course, 25+ projects, 10+ tool exposure, and mentorship that actually makes your journey, all under Imarticus Learning.

Let’s discuss how this data science course can be your gateway to a lucrative analytics and tech career.

Data Science Course

What is a Data Science Course?

Understanding the Basics of a Data Science Course

A data science course is technique and tool-based with prerequisite courses in Python, SQL, Tableau, and Power BI. The data science for beginners courses to professionals who can work in heavily regulated industries through intense project work, placements, and training.

You will learn:

  • Data wrangling and collection
  • Exploratory data analysis
  • Machine learning algorithms
  • Predictive modeling
  • Visualisation using BI tools
  • Communication of results to stakeholders

Wherever it is an on-campus or online data science course, the program supports multi-styled learning to yield results that matter.

Why Learn Data Science Today?

Exploring the Scope for a Career in Data Science

The world is generating data at a bewildering pace—2.5 quintillion bytes per day, actually. The data itself is not necessarily useful unless utilized in the proper manner, and that’s where data science learning courses are of use.

Why learning data science is a good idea:

  • Massive career opportunities in financial services, health care, retailing, and technology industries
  • High paying salaries with starting offers of 4–7 LPA and even 22 LPA and higher for working professionals
  • Offshore demand guarantees opportunities overseas
  • Develops reasoning skills, a key 21st-century skill

Curriculum Overview: Learn the Right Tools

What Will You Learn in a Data Science Course?

A proper online course in data science will have theory, application, and employability-based modules. Imarticus’ course includes:

  • Python for data manipulation
  • SQL for database management
  • Machine Learning for prediction
  • Power BI & Tableau for visualization
  • 25+ Projects to apply concepts to actual projects

Students are exposed to Imarticus COE Hackathons and case studies that hone technical as well as business acumen. The combination makes you stand out in the job market.

Job Assurance and Placement Success

How a Data Science Training Program Ensures Career Success

Job placement is the biggest fear barrier that students face. At Imarticus Learning, you are assured of:

  • 100% Job Guarantee
  • 10 Interview Guarantees
  • 2000+ Recruitment Partners
  • 52% Average Pay Rise
  • Max Package of max 22.5 LPA

This data science course is results-driven. You also receive:

  • Resume guidance
  • Interview preparation
  • Personal guidance
  • Career mapping sessions

This type of guidance benefited over 15,000 students in getting placed at top companies.

Career Opportunities After a Data Science Course

What Jobs Can You Get After This Course?

It is not a course. It is a career launcher for roles such as:

  • Data Scientist
  • Business Analyst
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Specialist
  • Analytics. Manager
  • Data Science Consultant

They will be in sectors as broad as banking and e-commerce and will go up in number even more as more businesses are adopting data-driven strategies.

Who Should Enrol in This Course?

Is This Course Right for You?

The data science course is best suited for:

  • Recent graduates holding engineering or technical diplomas
  • Working professionals with less than 3 years of work experience
  • Career transition candidates, who need to shift to an analytics career.
  • Professionals with data logical and analytical problem-solving skills

Being a low coding skill or a beginner coder, instructor-led training is given in this course.

Real Projects. Real Skills.

Why Projects Matter in a Data Science Course

You don’t learn theory—you implement real solutions. Imarticus provides:

  • 25+ Interactive Projects
  • Simulation for Ethical Banking
  • AML Detection Systems
  • Analytics on Business Use-Case

The projects are business simulated problems and prepare you to derive value out of data in high-risk environments.

Learn Online or in the Classroom

Flexible Learning Modes with Equal Impact

Whether you are taking online classes or want classroom sessions, the data science course is made to be interactive. From live expert sessions and peer group work to round-the-clock learning access, you experience the best of both worlds.

  • Weekday batches to suit working professionals
  • Interactive modules and peer reviews
  • Real-time doubt resolution

What Makes Imarticus the Best?

Key Reasons to Choose Imarticus to Become a Data Scientist

  • Best Education Provider in Finance (Elets World Education Summit 2024)
  • 1000+ Placement Partners – top MNCs
  • 60%+ Top-Tier College Students
  • Best Placement History in 1200+ Batches

While choosing a course in data science, choose the one with placement figures, industry acceptance, and student success stories.

What Our Alumni Say?

Some of the new data science graduates have secured jobs as senior analysts or BI experts in mere 6 months. All thanks to Imarticus’ career counseling, networking, and technology-driven training.

This is what one of them has to say:

“The game-changer was career mentoring and live projects. I got placed within weeks of graduation!!”

Key Benefits Recap

  • 6-Month Intensive Program
  • Live Online & Classroom Training
  • 25+ Projects & Hackathons
  • 10+ Tools Covered
  • 10 Interview Job Guarantees
  • 100% Job Guarantee

You will learn how to be a master in data science from the ground up and how to ensure you apply that skill for placement in a best-fit job.

FAQs

1. Is this course suitable for beginners?

Yes. Syllabus begins from the beginning and is best for technical background or analytical type of person.

2. Do I need coding experience?

No experience in coding is required, but that is always welcome. Python and SQL are taught from the very beginning in the course.

3. Will I receive job placement assistance?

Yes. The course promises me 100% job placement guarantee and 10 guaranteed interviews.

4. What tools will I learn?

You will be learning Python, SQL, Power BI, Tableau, etc.

5. How long is the course?

Course duration is 6 months with live classes, projects, and exams.

6. Can I join if I’m working full-time?
Yes. Time slots of weekday batches are also convenient for professionals.

7. What kind of roles will I be eligible for?

Data Scientist, Analyst, BI Specialist, ML Engineer, and more analytics jobs.

Conclusion: Take the First Step Today

Selecting a data science course is a career-defining decision. From learning the new tools to job guarantee, this is one decision that will change your life. Imarticus Learning’s course is not learning—It’s doing, showing, and expanding. Join the over 15,000 students who already changed their lives. Your data science journey starts.

Understanding Investment Banking Course Duration & Career Tips

Posted on by Imarticus Learning

The best course length to be able to do investment banking can be the make-or-break for your finance career. You may be either a new graduate or an already established professional seeking to transition into a high-growth career, and the perfect course—at a perfect length—can give you the perfect skills and certifications. Since investment banking is the most rewarding and highest-growth finance career, you must have the blueprint. From technical skills that are the learning prerequisite for projects and global banking experience, it begins with choosing the best program duration.

Why Choose a Career in Investment Banking?

Investment banking is not only about glory but also about unmatched learning and reward. From leading mergers and acquisitions to purchasing and selling financial securities and advisory services, the choices are unlimited.

Reasons why one should be an investment banker:

  • Good pay and bonuses
  • Steep learning curve with rapid progression
  • Interaction with high-profile client and deal
  • International career possibilities
  • With proper training

Via suitable finance courses with placement, experts can set robust foundations and accelerate rapidly up the ranks.

Understanding Investment Banking Course Duration

So, what is the optimal investment banking course duration then? Courses depend on your career and experience level, ranging from fast 3-month courses to long 6-month courses.

Short courses comprise of:

  • Introduction to financial markets
  • Operations in investment banking
  • Life cycle and regulation of trade

Extended versions include:

  • Module details of wealth & asset management
  • Case studies in risk management
  • Practice sessions on KYC, AML, and moral banking

Your choice depending on how fast you want to get into the corporate sector and how much learning you need.

Career Impact of Completing the Right-Length Program

Choosing a course with the ideal course duration in investment banking keeps you from either overtraining or undertraining. Students of optimal-duration courses enjoy:

  • Fewer job search rounds
  • Higher placement rates
  • Enhanced job readiness
  • Early contribution as associate/analyzer

A flawless planned curriculum—like Imarticus Learning’s CIBOP—uses the course duration and harmonizes it with the needs of the industry, bringing you to the finance industry without waves.

Skills You Gain Through a Certified Course

Skills are the pillars of any investment banking career. The right course, short-duration or long-duration, needs to accommodate instruction for:

  • Excel & Financial Modelling skills
  • Settlement trade procedures
  • Risk and regulatory definitions
  • Securities, derivatives, and fixed-income information

Technical and soft skills in combination release the investment banking career prospects and make you confident to attend interviews.

Placement Opportunities That Follow

If you opt for a placement program in finance, not only will you be studying, but you will also be offered assured job placements. Finance courses like CIBOP provide:

  • 7 guaranteed-to-get-an-interview chances
  • 1000+ placement partners
  • 4 LPA average CTCs; industry-best packages at 9 LPA
  • KYC, trade surveillance, risk management jobs

Course duration directly correlates with how quickly you can get placed—quicker certification = quicker placement and career development.

Choosing the Best Investment Banking Certification

All certifications are not created equal. The best investment banking certification is one that:

  • Offers theory combined with exposure
  • Offers real-world projects and simulations
  • Offers placement and industry recognition
  • Offers mentorship and resume/interview coaching

Imarticus Learning’s Certified Investment Banking Operations Professional (CIBOP) has it all. Both the 3 and 6-month duration option ensure that it accommodates your schedule and learning pace.

Real-life Projects That Shape Your Career

Practical skills are downright essential to landing investment banking job prospects. High-quality courses include:

  • Compliance & Anti-Money Laundering case studies
  • Mock trade settlement exercises
  • Ethical banking and risk assessments projects

These modules allow you to develop a project portfolio, which really puts some oomph in your resume to try and attract employers.

Job Roles You Can Pursue After Completion

After graduating from a certified program, career opportunities in investment banking become more accessible to you. You can target:

  • Investment Banking Associate
  • Risk Management Consultant
  • Regulatory Reporting Analyst
  • Wealth Management Associate
  • KYC Analyst
  • Trade Surveillance Executive
  • Settlement/Collateral Analyst

These are positions where global banks, financial institutions, and fintech firms converge, so you have the option of heading your investment banking career in any direction in the world.

How CIBOP Gives You an Edge?

India’s top investment banking opportunity is Imarticus’ CIBOP program, with a 85% placement rate and educated more than 50,000 students till date.

Program Highlights:

  • 100% Job Guarantee
  • 7 Guaranteed Interviews
  • 3 and 6-Month Course Options
  • 60% Average Salary Increase
  • AML, Trade Lifecycle, and Compliance Projects
  • Industry expert certified course

Looking to change companies or get into finance? This is the placement-backed investment banking course you’ve been looking for.

FAQs

1. How long should the ideal investment banking course last?

3 months of course will be best for freshers to get early placement. If you want more exposure, go for a 6-month course.

2. Will I be placed after enrolling in an investment banking course?

If you go for a placement course in finance such as CIBOP, you’ll get guaranteed interviews and a 1000+ hiring partner network.

3. What are the investment banking hottest job roles?

Positions such as KYC Analyst, Regulatory Reporting Associate, and Wealth Management Executive are the cool jobs.

4. What are the important skills needed for investment banking?

Excel skills, trade lifecycle, risk management, and compliance are the cool skills in investment banking.

5. Can I switch to investment banking without a finance background?

Yes. The certification courses are specifically designed to bridge the knowledge gap and get you trained from scratch.

6. Is CIBOP a better investment banking certification?

With live projects, high placement ratio, and industry-focused syllabus, it is one of India’s most rated certifications.

7. How much is average salary upon completion of the course?

Graduates of CIBOP earn around 4 LPA on average on average with best offers up to 9 LPA.

Conclusion

The choice of best course length to spend on investment banking isn’t just about time—deliverables matter. The perfect course can give you the finest skills, industry exposure, and placements guaranteed to propel your finance career forward. With courses such as the CIBOP program of Imarticus Learning, you aren’t learning investment banking; you’re living it. If you’re able to cover the gap between aspiration and hard work, begin here—via the right certification, at the right moment.

How Certifications Fast-track Investment Banking Careers?

Posted on by Imarticus Learning

In today’s competitive finance environment, investment banking certification is not only a plus—it is essential to your career. With the markets of the world becoming more complicated and linked together, companies expect professionals not only to be theory-savvy but work-ready as well. From graduate to experienced finance professional who seeks career growth, the certification can be your ticket to opportunities and turbo-charged career development in the investment banking field.

The right investment banking certification fills the gap between class and off-class experience, puts you in a better position in placement rounds, and makes you more likely to attain high-earning careers.

investment banking certification

Why Choose a Career in Investment Banking?

Investment banking is the most lucrative of all the career choices available in the financial sector. With investment banking, there is high pay, access to global markets, and an opportunity to deal with high-weight clients for mergers, acquisitions, and capital raising transactions.

As there is a larger need for professionals who possess knowledge of complex financial products and processes, never has the moment been better to seek finance career prospects.

How Certification Impacts Investment Banking Job Prospects?

A certification in investment banking ensures that you possess working specialist knowledge and functional knowledge. Placement agencies also shortlist certified candidates first before others during campus recruitments. The right course also helps you:

  • Receive respect from overseas employers
  • Gain knowledge about banking firm’s techniques and tools
  • Increase your chances of clearing interview stages

A finance course with placement also assures employment, giving you a safe path on course completion.

Top Skills Needed for Investment Banking

Today, recruiters ask for more than the usual degrees. They would want the candidates to come along with technical as well as soft skills like:

  • Risk management
  • Trade settlement & compliance
  • Wealth & asset management
  • Anti-money laundering
  • Ethical banking practices

Investment banking certification properly structured like CIBOP enables all of these to be developed.

Exploring the Best Investment Banking Certification

Certified Investment Banking Operations Professional (CIBOP) by Imarticus Learning is the most sought-after 0–3 years experience certification.

Why CIBOP stands out:

  • 100% job guarantee
  • 7 interview guarantees
  • 1200+ batches completed
  • Avg. salary of ₹4 LPA
  • Highest paying salaries of ₹9 LPA and more
  • 1000+ placement partners

It is the number one investment banking placement-ready certification.

Placement Benefits of CIBOP by Imarticus

One of the best things to keep in mind when choosing investment banking placement is that there is no other program that can replace a program that provides genuine placement. CIBOP assures:

  • Interview preparation & CV writing
  • Soft skills & domain knowledge
  • Career advice
  • Access to more than 1000 hiring partners 

Since Imarticus wins Best Education Provider in Finance at 30th Elets World Education Summit 2024, you are being taught by the best.

Career Roles You Can Target

You can become a candidate for the following jobs through an investment banking certification:

  • Investment Banking Associate
  • Wealth Management Associate
  • Risk Management Consultant
  • Regulatory Reporting Analyst
  • Hedge Fund Associate
  • KYC Analyst
  • Client Onboarding Associate
  • Trade Surveillance Analyst

These jobs are most likely to be targeted in Indian and international markets and give faster career growth.

Real Industry Projects That Build Practical Skills

Practice makes perfect. CIBOP uses a project-based method in which students tackle real cases like:

  • Trade-based money laundering
  • Compliance violations
  • Ethical banking conundrums
  • Real investment banking transactions

These real projects hone skills and confidence—precisely what recruiters are seeking.

Why Employers Priorities Certified Candidates

Recruiters frequently use certifications to shortlist candidates with speed. A known investment banking certification indicates that:

  • You grasp intricate monetary systems
  • You’re trained in global standards
  • You are ready to contribute from Day 1

Moreover, it also increases your visibility to employers who are actively hiring for critical roles in finance.

Is Investment Banking Right for You?

If analytical thinking, acuteness to details, and interest in financial matters are your forte, this profession is your sure-shot ticket. This job is not the sole preserve of crème de la crème IIT/IIM passouts. Even freshers with proper certification can start this profession.

Whether you wish to specialise in finance career positions in India or go abroad from India to the international market, CIBOP equips you with the knowledge and the skill set to do so.

FAQs

1. What is the average salary after completing CIBOP?

Average salary is ₹4 LPA, and the highest salary is around ₹9 LPA depending on experience and performance.

2. Is the certification recognised by employers?

Yes. Imarticus Learning is a 1000+ hiring partner finance education brand with high credibility.

3. Do I need finance experience before enrolling?

No, the course is for freshers as well as early professionals with 0–3 years of experience.

4. What kind of roles can I apply for after this certification?

Job roles are KYC Analyst, Investment Banking Associate, Client Onboarding Analyst, etc.

5. What is the duration of the course?

You have 3-month or 6-month plans, as required.

6. Are the interviews guaranteed?
Yes. You will be guaranteed 7 interviews on course completion.

7. How does the CIBOP course compare to an MBA?

CIBOP is niche, to-the-point, up-to-date, and industry-specific—best suited for faster placement than a generic MBA.

Conclusion

Your investment banking career can be made easier with proper certification. Imarticus’s CIBOP program is not merely an investment banking certification, but a career platform offering placement assistance, live projects, and interaction with best-in-class employers.

In a saturated job market, make sure that you are the one who gets attention—either because of the right certification, skills, or platform.

Tableau for Beginners: Important Features You Should Know

Posted on by Imarticus Learning

Table of Contents

  • Introduction to Tableau Software
  • Key Features of Tableau
  • Tableau Beginner Guide: Getting Started
  • Tableau Data Visualisation Tools Described
  • Tableau Dashboard Elements for Beginners
  • Tableau Training for Beginners: How to Study Effectively
  • Key Takeaways
  • Conclusion
  • FAQs

Begin your journey through Tableau for Beginners with a sense of overwhelm, and I promise you, you’re not on your own. If you’ve played around with spreadsheets or have no experience at all with data, learning Tableau can lead you into a whole new world of data visualisation and analytics possibilities. It’s made to simplify complex data so that it appears simple, actionable, and, I know I’m being cheeky here, even beautiful.

In the data-driven world we live in today, organisations are hungry for people who are not just able to interpret data but to effectively communicate it as well. That’s where Tableau for Beginners comes in—equipping you to take raw numbers and turn them into visual stories that lead to action. In this blog, we’ll demystify everything you want to know, including must-know features, tools, dashboards, and training advice so you can use Tableau with confidence.

Tableau for Beginners

Introduction to Tableau Software

If you are starting out, it is important to know about the Introduction to Tableau Software. Tableau is a top data visualisation platform that allows individuals and companies to analyse, visualise, and share insights from their data without the need for extensive technical knowledge. It converts bulky datasets into interactive dashboards, charts, and graphs.

Tableau was established in 2003 & has become a world leader in data visualisation. Its user-friendly interface and robust analytics features ensure that both – beginners and experts use it. Even users with little coding expertise can develop professional-grade dashboards using Tableau for Beginners.

Here’s a brief comparison of Tableau with other well-known tools:

FeatureTableauExcelPower BI
User-FriendlyHighly intuitiveModerateBeginner-friendly
Data VisualisationAdvancedBasicGood
Real-time AnalyticsYesLimitedYes
IntegrationExtensiveModerateStrong

If you are wondering where Tableau stands in the world, take a look at Gartner’s latest BI Magic Quadrant where Tableau still remains a leader. 

Tableau’s Key Features

Before jumping into building dashboards, it’s important to understand the Key Features of Tableau. Tableau has established itself as a platform that focuses on making data accessible and clearer for all users from business users through to data scientist. 

For many, one of the coolest features is the ability to connect to virtually any data source. Whether its Excel, SQL databases, cloud platforms, or even data from the web, Tableau has made the connections as easy as they can be. This means that as a beginner, you’re not limited by your data format or storage location.

Key Features of Tableau include:

  • Drag-and-Drop Interface: Build visualisations quickly without coding.
  • Real-Time Data Analysis: Dashboards based on the flow of live data.
  • Data Blending: Mix data from different sources to combine analyses.
  • Collaboration: Share interactive dashboards with others.
  • Mobile Accessibility: Access your dashboards anywhere, anytime.
  • Extensive Integration: Can integrate with cloud platforms such as AWS, Google Cloud, and Microsoft Azure.
  • Interactive Visuals: Engage stakeholders by using interactive charts and dashboards.
  • Strong Security Controls: Comes with solid, enterprise-level security features for protecting your data.

Want to dive deeper into the increasing need for data visualisation? Read this Forbes article on data storytelling.

Tableau Beginner Guide: Getting Started

Starting your Tableau adventure? This Tableau Beginner Guide chapter is for you. Tableau is a data visualization tool that is very rewarding but also very daunting to learn. It is visual and user-friendly. Hence, should not be considered a direct technical tool.

Needless to say, the next stop for anything Trending The Tableau Way for Beginners comes with installing either Tableau Public or Desktop. Tableau Public is free & hence the best tool for getting a hold of practicing, while Tableau Desktop comes with more advanced capabilities aimed at professionals.

Here’s a quick step by step for beginners:

  • Download and install Tableau Public or Tableau Desktop.
  • Connect to your data source (Excel, CSV, Google Sheets, etc.).
  • Get to know the interface (sheets, dashboards, and workbooks).
  • Use drag-and-drop to create basic charts.
  • Try out various visualisation options.
  • Publish and share your dashboards.
  • Practice regularly using sample datasets.
  • For real-world use cases and inspiration, check out the Tableau Public Gallery.

Tableau Data Visualisation Tools Explained

Knowledge of Tableau Data Visualisation Tools is essential to telling stories using data. Tableau provides a wide range of tools aimed at facilitating users to create informative and interactive visualizations of data.

The best aspect of these tools is that they are easy to use and flexible. Be it making a basic bar chart or an interactive map, Tableau for Beginners provides you with the tools to convert raw data into useful interpretations.

Popular Tableau visualization tools are:

  • Bar and Column Charts: Ideal for making comparisons between categories.
  • Line Graphs: Best used to monitor trends over time.
  • Pie Charts and Donut Charts: Ideal for displaying proportions.
  • Maps: Visualize geographic data easily.
  • Heat Maps: Show areas of high data density or performance.
  • Scatter Plots: Determine variable relationships.
  • Treemaps: Best for hierarchical data representation.

The versatility of these tools allows Tableau to suit both beginners and advanced users.

Tableau Dashboard Features for Beginners

If you’re a beginner working with Tableau.. getting acquainted with the Tableau Dashboard Features will be an essential part of developing interactive & informative reports. Dashboards contain a combination of -visualizations and filters in one view—an entire view of your data.

Beginner Tableau Dashboard Features mean that even if you’re new to data, you can build dashboards just as fantastic as anyone in a professional role to obtain useful insights.

Basic dashboard features are:

  • Interactive Filters: Enable users to drill down into certain data.
  • Dynamic Tooltips: Provide extra information on hover.
  • Parameter Controls: Add interactivity for advanced analysis.
  • Device Preview: Ensure dashboards are mobile-friendly.
  • Custom Layouts: Arrange visualisations to fit business needs.
  • Actions: Enable navigation between dashboards or external links.
  • Highlighting: Emphasise key data points.

Mastering these dashboard features enhances your ability to communicate data effectively.

Tableau Training for Beginners: How to Learn Effectively

In learning Tableau for Beginners, guided learning is essential. Fortunately, there are no leanings in finding resources to enable you to learn Tableau effectively, be it your background.

Beginner Tableau Training can be anything from self-directed tutorials to instructor-training courses. Choosing the perfect training method guarantees a seamless, incremental learning curve.

Learning methods recommended are:

  • Official Tableau Learning Materials: Try out Tableau’s own tutorials and guides.
  • Webinars: Sign up for comprehensive courses on platforms like the Postgraduate Program in Data Science & Analytics by Imarticus Learning for a publicly available Tableau course. 
  • YouTube Tutorials: Great for short tips and experiences.
  • Online Communities: Reach out to fellow students for course lockdown.
  • Practice using publicly available data sets: Get your hands dirty with real data sets. 

Tableau for Beginners aint so daunting with a little practice and a little organization!

Key Takeaways

  • Tableau for Beginners makes data visualisation easy for all.
  • Introduction to Tableau Software emphasizes its intuitive, robust design. 
  • Learning the Key Features of Tableau is required for utilizing it with confidence. 
  • Tableau Beginner Guide offers a clear beginning point.
  • Discover various Tableau Data Visualisation Tools to make vivid visuals. 
  • Tableau Dashboard Features for Beginners open up interactive insights. 
  • Explore Tableau Training for Beginners to speed up your learning process. 

Conclusion

To be a Master of Tableau for Beginners is not about possessing sophisticated technical expertise—it’s being curious and practicing. With its easy-to-use interface, multiform visualisation tools, and heavy-duty dashboard capabilities, Tableau gives anyone the ability to transform raw data into compelling narratives.

If you are looking to advance your skills, join the Postgraduate Program in Data Science & Analytics by Imarticus Learning. With industry-expert guided training, project work, and placement support, it’s your key to job-readiness in data analytics and Tableau.

FAQs

1. What is Tableau used for?

 It is a robust data visualisation tool that -transforms raw data into interactive and visually engaging dashboards and reports to enable organisations in making informed decisions. 

2. Is Tableau good for beginners?

Sure it is! Tableau for Beginners is designed to have user-friendly interfaces along with intuitive drag-and-drop features.. so even someone without any technical background can use it. 

3. Do I need coding skills to use Tableau?

No, you don’t require any coding skills. Tableau’s interface works on visuals or drag-and-drop actions where anyone can simply drag and drop to create charts and dashboards. 

4. What are the main features of Tableau?

 Key Features of Tableau include: real-time analytics, interactive dashboards, data blending from different sources, mobile access & security.

5. How long to become proficient in Tableau?

Mastering Tableau fundamentals may take a few weeks of consistent use, particularly with organised material such as Tableau Training for Beginners.

6. Is Tableau free?

 Yes, there is a Tableau Public version that allows practice and publishing your work online and is great for individuals using the Tableau Beginner Guide.

7. What visualisations can Tableau do?

Tableau Data Visualisation Tools enable users to -design bar charts, line graphs, maps, heatmaps, scatter plots, treemaps & more.

8. How do Tableau dashboards function?

 Tableau Dashboard Features for Beginners make it possible to – merge several charts, filters, and interactive elements into a single cohesive, easy-to-use view.

9. Is Tableau popular?

 Yes – Tableau skills are highly demanded, as data visualisation and analytics are indispensable in today’s business decision-making.

10. How can I learn Tableau effectively?

Look at structured learning opportunities such as the Postgraduate Program in Data Science & Analytics by Imarticus Learning to get complete, industry-suitable Tableau training.

Power BI vs Excel: Which Should You Choose?

Posted on by Imarticus Learning

Excel was the standard default spreadsheet, financial reporting, and analysis for years. Small businesses and multibillion-dollar enterprises used Excel to take a look at the numbers, create pivot tables, and drill down. But as real-time visibility, automation, and intelligent visualisation become more and more sought after, companies will be asking themselves this: Is Excel enough, or do you use Power BI?

That is when the battle of Excel and Power BI starts. Excel is office software and handy tool but, prior to Power BI becoming the top business intelligence software to deliver affordable data analysis program. Excel vs Power BI data proves helpful to businesses, analysts, and accounting professionals looking for informed decisions.

In this blog, we’ll break down the Power BI advantages, the Excel limitations, and how both tools can complement each other. By the end, you’ll know exactly when Excel is sufficient, and when it’s time to adopt Power BI for your reporting and analysis needs.

What is Excel?

Excel is a spreadsheet application developed by Microsoft that allows users to organise, analyse, and visualise data. It is widely used for:

  • Data entry and basic arithmetic.
  • Accounting modeling and forecasting.
  • Conditional formatting and pivot tables.
  • Basic charting and visualisation.
  • VBA automation and formula specificity.

Even being really old many decades ago, Excel remains a data analysis computer program standard, finance and accounting especially.

What is Power BI?

Power BI is a business application, making use of artificial intelligence to create interactive dashboards, real-time reports, and high-level data visualisation. Power BI is not Excel—Power BI is able to connect to an enormous amount of data sources, sift through and get the data organised, and has one location to report from.

The top things about Power BI are:

  • High-level interactive dashboard and data visualisation.
  • Integration of database, cloud, and APIs in an integrated way.
  • Automatic refresh and update in real time.
  • Natural language query (Ask a question about your data).
  • Collaboration and sharing with Power BI Service.

Excel vs Power BI: The Key Differences

For instance, when comparing Excel to Power BI, it is easy to compare them head to head on large features:

FeatureExcelPower BI
Data CapacityHandles up to ~1M rows efficientlyHandles millions of rows, optimised for big data
VisualizationLimited charts and graphsRich, interactive dashboards and visuals
AutomationFormulas, macros, VBAAutomatic refresh, real-time updates
CollaborationFile-sharing, version issuesCentralised dashboards, easy collaboration
Data SourcesPrimarily spreadsheets and CSVs100+ sources (databases, APIs, cloud)
Learning CurveFamiliar for most professionalsRequires learning new BI concepts
CostOne-time license or Office 365Subscription-based model

Excel Limitations

Even still a mass-market tool, Excel has some limitations that restrict its use for broad-scale or modern analytics:

  • Data Volume Issues – Excel struggles with big data (more than a few hundred thousand rows).
  • Reporting Issues – The reports are snapshots of updates that aren’t automatically logged.
  • Collaboration Issues – Version control issues occur where many users are modifying a file.
  • Visualisation Weaknesses – The charts are two-dimensional and less interactive than Power BI.
  • Incorrect – Human error and handwriting during formulas provide space for an astronomic number of errors.

Solutions to such Excel problems are the imperative for most companies to utilize business intelligence tools like Power BI.

You can grab insightful information about trading and financial modeling from this video- Trading to Financial Modeling Pro: Ramit’s PGFAP Story | Postgraduate Financial Analysis Program

Power BI Advantages

With Power BI comes a combination of benefits:

  1. Scaling – Plays along fine with millions of rows.
  2. Real-Time Dashboards – Can refresh automatically from multiple sources.
  3. Data Connectivity – Boasts SQL, Azure, Google Analytics, APIs, and so much more.
  4. Collaboration – Several teams can collaborate and draw off of a live dashboard from a source of truth.
  5. Advanced Analytics – AI-driven insights, natural language search, and predictive modeling.
  6. Professional Vizuals – Business-confronting dashboards with large visualisations to drive decision making.

These are the Power BI benefits that make Power BI the business application of today for data-driven solutions.

Power BI vs Excel: When to Use Each

When to Use Excel:

  • Small datasets.
  • Ad-hoc reporting and quick calculations.
  • Formula-driven financial modeling.
  • Offline, single-person reporting.

When to Use Power BI:

  • Large, complex datasets.
  • Requirements for real-time reporting.
  • Company-level and sharing dashboards.
  • Consolidated reporting across multiple datasets.

They use both applications horizontally: Excel to perform the computation and modeling and Power BI to share and visualise.

Power BI vs Excel in Finance

Accounting experts are curious about the Excel vs Power BI issue. Excel takes the win in modeling and financial forecasting, while Power BI takes the win in visualisation and publication. For example:

  • Excel: Create a discounted cash flow model.
  • Power BI: Creating a dashboard that gives the company stakeholders real-time performance.

Financial experts who are familiar with both software thus enjoy a mammoth competitive edge.

The Future of Data Analysis Tools

With business online, data analysis software improves. Excel shall forever be cool, but it’s inevitable the trend for business intelligence software like Power BI sets in. Businesses need software that:

  • Manages huge volumes of data.
  • Auto-mates routine operations.
  • Provide real-time insights.
  • Make it easier to collaborate.

And lets Excel struggle to stay hip in a sloppy way, though Power BI and others shall be the greatest genius on the newest analytics fad.

Building Your Career with Power BI and Excel

Power BI and Excel form a part of the toolkit for analysts and finance alumni. The job candidates possessing specialist experiential expertise in tools of business intelligence coupled with general know-how with Excel are bound to be the blue-eyed boy or blue-eyed girl of the recruiters.

And here is where approved courses of study come into the picture.

Postgraduate Financial Analysis Program: Gain Data & Finance Expertise

Imarticus Learning’s Postgraduate Financial Analysis Program educates finance graduates with traditional as well as modern skills.

Why Join This Program?

  • 100% Job Guarantee with 7 guaranteed interviews.
  • 56,000+ placements and 500+ hirers. 
  • Awards & Recognition: Recipient of Best Education Provider in Finance at the 30th Elets World Education Summit 2024.
  • 60% average salary increment for career changers.

Skills You’ll Learn:

  • Advanced Excel for financial modelling.
  • Power BI and other business intelligence tools.
  • Financial analysis, valuation, and equity analysis.
  • Transactional skill, corporate finance.

Learning Approach:

  • Live case class simulations and case studies.
  • Data analytics tool-based hands-on projects.
  • Personal branding and LinkedIn optimization.
  • Guidance by industry experts.

These are the skills that can be utilized in order to secure a job in a position like FP&A Analyst, Investment Banking Analyst, Equity Research Analyst, Treasury Analyst, Corporate Development Analyst, and Private Equity Analyst.

FAQs on Power BI vs Excel

Q1. Why isn’t Power BI Excel?

Power BI is an interactive business intelligence data visualization and Excel is a calculation and modeling spreadsheet.

Q2. Is Power BI replacing Excel?

No, Excel is the low-level king of reporting and modeling but Power BI is the new king of new dashboards and real-time analytics.

Q3. Will Power BI replace Excel?

Not really. Offline calculation, intricate equations, modeling – there can be no replacement for Excel. Power BI is built on top of Excel and not a replacement.

Q4. Where are the areas where Excel falls behind Power BI?

Excel lacks big data, collaboration, and where live updates are concerned, Power BI does it very conveniently.

Q5. What are the advantages of Power BI over Excel?

More scalable, collaborative, interlinked data, automation, and improved visualization.

Q6. Difficult to learn?

No, particularly for users of Excel. Business users can be trained such that transition becomes less painful with training.

Q7. Finance professionals: Power BI or Excel preferred?

Both. Modelling in Excel and reporting/visualisation in Power BI.

Q8. More costly than Excel?

Power BI is subscription-paid but Excel is included as part of Microsoft Office subscriptions. Business requirement decides the difference.

Q9. Too much to use Excel and Power BI?

Yes, Power BI can import Excel data with the aim to deliver visualization and dashboards.

Q10. Professional upskilling in Power BI and Excel?

With formal education such as Postgraduate Financial Analysis Program, with placement assurance and Excel and Power BI training.

Conclusion

The argument wasn’t Excel vs Power BI is better but who does it better. Excel is preferable to do it when there is a need for model building, quick analysis, and off-line calculation. When there is a need for real-time reporting, collaboration, and advanced data visualization, Power BI is better.

For the finance professional, it’s better to be proficient in both tools. Excel is core competency, and Power BI skills are future analytics skills. With programs like the Postgraduate Financial Analysis Program, you learn-by-doing with both data analysis packages and get ready for high-growth finance and analytics careers.

DCF Valuation: What It Is and Why You Need It?

Posted on by Imarticus Learning

It is challenging to find valuation methods so common and highly sought after as DCF valuation when the query asked is how to estimate an investment or business opportunity. The technique, otherwise referred to as Discounted Cash Flow valuation, is an estimation of the value of an asset or firm in present value terms of future cash flows.

Effectively, DCF valuation gives a precise figure: How worth is the firm today, based on the future sum of cash it will return? Through basic comprehension of the time value of money, the approach allows investors and analysts to determine if an investment is overpriced or underpriced compared to its price in the market today.

Here, we are going to discuss DCF concepts, step by step DCF calculation process, and why all this should be understood about present value of cash flows in order to calculate intrinsic value here in this blog. We will be discussing and comparing DCF with other finance valuation techniques and will inform you how you can master valuation skills through learning professional courses.

What is DCF Valuation?

Behind the scenes, the DCF valuation is an accounting technique used to calculate the intrinsic value of a property. While past performance is the underlying basis for measurements or market multiples are used, the DCF gazes into the future. It estimates the firm’s future cash flows and then discounts them back to the present using an anticipated rate of return.

It is thus the best approach to financial valuation as it considers both company profitability and the risk factor of its operation.

dcf valuation

Why is DCF Valuation Important?

1. True Intrinsic Value Calculation

DCF gives a true reflection of value regardless of madness in the markets.

2. Long-Term Focus

In contrast to market-based and short-term relative valuation methods, DCF is long term and forward looking in orientation.

3. Strategic Decision-Making

Discounted cash flow analysis is applied by companies to make capital investment, merger, and acquisition decisions.

4. Universality

DCF can be applied to value any income asset—real estate, bonds, equities, or corporations.

5. Investor Confidence

Investors have more certain choices available to them as a result of using the knowledge of the present value of the cash flows in relation to market conditions rather than relying on market conditions.

The Principles Behind DCF Valuation

DCF valuation is built on two finance postulates:

  • Time Value of Money (TVM): A rupee received today is preferable to a rupee received tomorrow because it is subject to risk, inflation, and opportunity cost.
  • Risk and Return: The return from the riskier investment is higher, so is the associated required return and hence the discount rate applied in DCF calculation.

Steps in Discounted Cash Flow Analysis

A DCF calculation does have some steps:

1. Forecast Future Cash Flows

In an educated fashion, forecast the FCFs of the company for 5–10 years as cost, reinvestment, and revenue growth.

2. Determine the Discount Rate

Discount rate, most often the WACC, is the return investors expect.

3. Calculate the Present Value of Cash Flows

Discount each projected cash flow to the present with the discount rate:

  • PV=CFt(1+r)t
  • PV = \frac{CF_t}{(1 + r)^t}
  • PV=(1+r)^tCFt

Where:

  • PV PV PVPV = Present Value
  • CFtCFt = Year t Cash Flow
  • rrr = Discount rate
  • ttt = Time period

4. Compute Terminal Value

Apply the perpetuity growth formula or exit multiple formula in horizon time to calculate terminal value.

5. Add Cash and Subtract Debt

Add the cash equivalents and add the same to enterprise value and then deduct debt to obtain equity value.

6. Compare with Market Value

Finally, calculate intrinsic value vs. market price to determine if asset is undervalued or overvalued.

Key Inputs in DCF Valuation

  • Revenue Growth Rates – Utilized to derive assumptions of future cash flows.
  • Operating Margins – Affects degree of profitability.
  • Capital Expenditure – Represents reinvestment of future growth.
  • Working Capital Changes – Affects cash at hand.
  • Discount Rate (WACC) – Affects cost of capital as well as risk.
  • Terminal Growth Rate – Growth assumption in the future period beyond the forecast horizon.

Advantages of DCF Valuation

  • On intrinsic value, not market price.
  • May be applied to any asset class and sector.
  • Ratchets up high-level financial calculation.
  • Applied in corporate finance decision like M&A.

Limitations of DCF Valuation

Although being easy to use, DCF is not perfect. It relies heavily on assumptions upon which it is based.

  • Sensitive to slight variation in discount rate and growth expectation.
  • Is time-consuming and complicated relative to simplistic multiples.
  • Risk in the future could make long-term projections doubtful.

Based on the above, DCF would need to be complemented by other valuation techniques like comparables and historic transactions.

Example of DCF Calculation

Suppose Company X is experiencing free cash flow of ₹10 crore in base year with a growth rate of 10% pa for 5 years. WACC = 12%, terminal growth = 3%.

  1. Calculate FCF for 5 years.
  2. Discount each FCF to present value.
  3. Compute terminal value as of end of Year 5.
  4. Compute PV of cash flows and terminal value = Enterprise Value.
  5. Add debt/cash to get Equity Value.

This technique provides investors clean number of intrinsic value to compare against market stock price.

DCF Valuation vs Other Financial Valuation Methods

MethodBasisProsCons
DCF ValuationPresent value of future cash flowsIntrinsic, forward-lookingSensitive to assumptions
Comparable CompaniesMarket multiples (P/E, EV/EBITDA)Easy, quickDependent on peer valuations
Precedent TransactionsHistorical deal multiplesReflects real-world dealsLimited data, not always comparable
Asset-Based ValuationNet assets valueSimpleIgnores future earning power

Others are possible comparables but discounted cash flow analysis is still the better intrinsic value benchmarking technique.

DCF in Real-World Applications

  • Investment Banking – Target company size for M&A.
  • Equity Research – Measuring stock price.
  • Corporate Finance – Capital budgeting of new initiative capital.
  • Private Equity – Determination of acquisition price.
  • Treasury & FP&A – Internal project analysis and financial planning.

Building a Career in Valuation

Valuation specialists and intrinsic value calculation method specialists are more in demand now than ever before. FP&A subject matter experts, investment banks, equity analysts, and corporate development specialists must become intrinsically value calculation specialists and financial modelers.

And the key to achieving that is by being a part of the Postgraduate Financial Analysis Program.

Postgraduate Financial Analysis Program: Your Gateway to Valuation Mastery

Imarticus Learning Postgraduate Financial Analysis Programme prepares finance postgraduates to develop high-level financial analysis, valuation, and modelling skills.

Highlights of the Programme:

  • 100% Job Guarantee with 7 interviews guaranteed.
  • Placements: 56,000+ and hiring partners: 500+.
  • 60% salary hike for placed students.
  • Weekday or weekend classes for 8 months or 4 months.
  • Best Education Provider in Finance award at 30th Elets World Education Summit 2024.

Skills Covered:

  • Financial statement analysis.
  • Discounted cash flow analysis and other valuation approaches.
  • Equity trade analysis and execution.
  • Excel and PowerPoint functionalities.

Learning Approach:

  • Live simulations and case studies.
  • Personal branding and LinkedIn exercises.
  • Guidance from industry experts

Professional career options include FP&A Analyst, Investment Banking Analyst, Equity Research Analyst, Treasury Analyst, and Private Equity Analyst.

Grab insightful information about trading and financial modelling here- Trading to Financial Modeling Pro: Ramit’s PGFAP Story | Postgraduate Financial Analysis Program

FAQs on DCF Valuation

Q1. What is DCF valuation defined simply?

DCF valuation is among the methods used to estimate an approximation of the worth of an asset by discounting cash flows to present value.

Q2. Why use discounted cash flow analysis?

It gives an independent market speculation estimate of intrinsic value.

Q3. What are the components of a DCF calculation?

Estimated free cash flows, discount rate (WACC), terminal value, and debt/cash adjustments.

Q4. How is intrinsic value differentiated from market value?

Intrinsic value refers to real value of asset in terms of cash flows and market value refers to price at which asset is available for sale in the market.

Q5. Where would DCF valuation be suitable?

It is most suitable but assumption based in the case of growth rates and discounting rates.

Q6. What is present value of cash flow?

It is cash today to be repaid in the future, discounting for risk as well as for time value.

Q7. At what rate of discount would DCF be applied?

Ideally WACC would be applied.

Q8. Is DCF valuation appropriate for start-ups?

Yes, but the projections would be sophisticated in nature because the cash flows are uncertain.

Q9. What is the difference between comparables and DCF?

DCF is value-intrinsic, while comparables are market-intrinsic.

Q10. I use DCF professionally how?

Modules like the Postgraduate Financial Analysis Programme cover the supply of DCF calculation, valuation method, and finance for employability.

Conclusion

DCF valuation is the finest that finance has to provide. Through application of the present value of cash flows by discounted cash flow analysis, investors can literally perform intrinsic value calculation and make intelligent decisions.

Although it is limited in its own right, when used alongside other techniques of financial valuation, DCF does provide a logical and sensible estimate of the value of the business.

To all postgraduate finance students who wish to be the DCF masters and push their professional career to historic levels, pursuing a course like the Postgraduate Financial Analysis Program can be the solution.

Variance Analysis: Understanding Budget Differences

Posted on by Imarticus Learning

All small and large firms prepare budgets to estimate revenues, expenses, and profits. Financial outcomes always never so exactly occur as budgeted. That is where variance analysis comes in between actual and budget.

Variance analysis is one of the scientific methods of discovery that discover, investigate, and analyze financial variances between what has been forecasted and what happens. Budget variance analysis enables companies to determine areas of wastefulness, constrain costs within thresholds, and make intelligent fiscal decisions.

In this blog, we will be covering the topic of the day—budget variance, cost variance, favorable and unfavorable variance. We will also understand why finance professionals must become a variance analysis guru, and how educational programs like the Postgraduate Financial Analysis Program can make you one.

What is Variance Analysis?

Variance analysis is the process of comparing amounts of money incurred with budget or standard amounts with the purpose of knowing the difference and why. The variances will be favorable (positive) or unfavorable (negative).

Explanation:

Actual revenue is greater than the budgeted revenue, so it’s a favorable variance.

Actual expenses are greater than what was budgeted, so it’s an unfavorable variance.

Variances analysis help finance departments to compare performance, plan for future improvements, and better-informed decision-making.

Importance of Variance Analysis in Budgeting

Why is variance analysis for budgeting so crucial? Let us enumerate the key reasons:

Performance Measurement – It shows where departments or teams have been relative to goals.

  • Cost Control – Shows where costs have been overspent.
  • Accuracy of Forecasts – Refines future budgets based on lessons from past errors.
  • Decision-Support – Suggests to the management to re-prioritize and re-allocate resources effectively.
  • Accountability – Refers departments accountable in being on track to organizational goals.

Brief, budgets would be theoretical journals and not of practical usage if they did not provide variance analysis.

Types of Budget Variances

There are several types a budget variance can be. The following are the most general categories:

1. Revenue Variance

It is when the actual revenue and budgeted revenue do not align. It may be due to various prices, quantities sold, or demand levels.

2. Cost Variance

It is different from the actual cost and budget cost. Cost variance is usually classified as:

  • Material Variance – Raw material prices above or below what was anticipated.
  • Labor Variance – Labor cost at different levels from planned levels.
  • Overhead Variance – Variation in utilities, rent, or other fixed cost consumption.

3. Profit Variance

Any time net income varies from what was expected by a change in revenue and expenses.

4. Cash Flow Variance

Budgeted versus actual inflows/outflows of cash with a very immediate impact on liquidity.

These budget variances provide a basis for taking proper action and performance measurement.

variance analysis

Actual vs Budget: Why the Difference Matters

Budget vs. actual comparison is an important component of management reporting. It tells the stakeholders what extent of deviation the business had from its budget.

Example:

  • It was budgeted for sale of ₹10,00,000 but achieved ₹12,00,000. The variance is +₹2,00,000 (favorable or positive).
  • If it had budgeted to spend ₹5,00,000 but spent ₹6,00,000, the variance is -₹1,00,000 (unfavorable or negative).

Recognising these differences enables leaders to shift gears—through budget maneuvering, lean efficiency, or new strategy targeting.

Cost Variance: A Closer Look

Of all variance measures, cost variance is the most significant. Because expenses have a direct influence on profitability, monitoring cost variance meticulously is crucial.

Common causes of cost variance include:

  • Supplier’s volatile prices.
  • Labor cost or overtime when they are not anticipated.
  • Ineffective production procedures.
  • Rising utility or overhead rates.

To the accountant, variance analysis of costs is not simply messing with budgets but it is also an alert for underlying supply chain and operations issues.

Favorable vs Unfavorable Variance

That is not necessarily all bad while performing variance analysis.

  • Favorable Variance – When actuals are higher than expected. Example: lower cost or greater revenue.
  • Unfavorable Variance – When actuals are worse than expected. Example: increased expenditure or decreased sales.

Favorable vs unfavorable variance keeps managers from merely responding to numbers but responding to them the way they should. Favorable variance literally, in certain instances, even represents under-utilization of resources, while an unfavorable variance can represent investment needed.

How Variance Analysis Improves Business Decisions

Budgeting variance analysis is not figures—it’s decision. It helps companies:

  • Spotting poorly performing areas.
  • Improving marketing or pricing strategy.
  • Negotiating better terms with the supplier.
  • Putting money into more profitable investments.
  • Holding individuals accountable.
  • Employees being held accountable.

In reality, variance analysis enhances short-term performance and long-range planning.

Variance Analysis in Finance Careers

Financial professionals, especially analysts, FP&A professionals, and accountants need to be variance analysis wizards. Recruitment companies hire individuals who do not just run variances, but also tick why they happen and suggest what needs to be done to rectify them.

It is from here that courses like the Postgraduate Financial Analysis Programme are required.

Postgraduate Financial Analysis Program: Your Path to Expertise

Imarticus Learning’s Postgraduate Financial Analysis Program will nurture expertise in financial analysis—like careful budgeting and variance analysis.

Program Highlights:

  • 100% Job Guarantee with 7 sure-shot interviews.
  • 56,000+ placements with 500+ hiring partners.
  • 60% average salary boost for learners.
  • Flexible Learning: 4-month weekday or 8-month weekend options.
  • Recognition: Awarded Best Education Provider in Finance at the 30th Elets World Education Summit 2024.

Skills You’ll Gain:

  • Financial statement analysis.
  • Variance analysis and financial modeling.
  • Equity research and valuation.
  • Transaction execution and corporate finance insights.
  • Excel and PowerPoint skill sets.

Learning Approach:

  • Practice simulation tools.
  • In-class activities and real-life case studies.
  • Personal branding and LinkedIn assignments for professional growth.

With careers like FP&A Analyst, Equity Research Analyst, or Treasury Analyst in the pipeline, this program accelerates your career path.

Gather in-depth knowledge about a plethora of concepts between trading and financial modeling in this video- Trading to Financial Modeling Pro: Ramit’s PGFAP Story | Postgraduate Financial Analysis Program

Real-life Example of Variance Analysis

Let us take an example:

Company’s sales budget was ₹50,00,000 and expense budget was ₹30,00,000. Actual sales were ₹48,00,000 and actual expenses were ₹32,00,000.

  • Sales Variance = -₹2,00,000 (adverse).
  • Expense Variance = -₹2,00,000 (adverse).
  • Profit Variance = -₹4,00,000 (adverse).

This means that the management will have to work again on sales strategy and cut wasteful expense.

FAQs

Q1. What is variance analysis?

Analysis of variance is a technique to compare actual and budgeted amount of money for the sake of knowing and distinguishing differences.

Q2. What is budget variance?

A favorable or unfavorable difference between actual and budgeted figures.

Q3. What effect are cost variances having on companies?

Cost variance informs companies how much they are spending less or more on material, labor, and overhead and makes them ask themselves how they can save money.

Q4. Describe favorable vs unfavorable variance.

Positive variance is the experience of better-than-expected performances, and negative variance is experiencing slowdowns.

Q5. Why is variance analysis so important in budgeting?

It helps with tracking of performances, cost reduction, better forecasting, and better financial decision-making.

Q6. Is variance analysis employed outside of finance?

Some locations employ it in project management, operations, and even human resources for performance monitoring.

Q7. How do businesses deal with negative variances?

By savings that are created by cost reduction, contract negotiation, added efficiency, or budget adjustment.

Q8. What packages are used in variance analysis?

Excel, BI software, and accounting packages are primarily used.

Q9. Is variance analysis useful to individuals?

Yes, individuals can use it for their own cost control and budgeting.

Q10. How effective is the Postgraduate Financial Analysis Program?

It instills career-focused financial skills like variance analysis, modeling, and career placement.

Conclusion

Variance analysis is not activity accounting—any rational management tool that leads to better business performance. With budget variance, cost variance, and favorable/unfavorable variance information, business organizations have the data needed to manage resources better.

For accountants, variance analysis is not a matter of choice. With greater demand for capable analysts, formal learning like the Postgraduate Financial Analysis Program can be a career-advancing asset.

So the next time you were testable on variance analysis, you’ll find there’s more to variance analysis than numbers—there is better financial decision-making at stake.

Best FRM Coaching in India to become a Global Risk Leader

Posted on by Imarticus Learning

Selecting the Best FRM training in India is a crucial step for financial professionals seeking risk management excellence. 

The finest institute is not only there to address all aspects of the syllabus but also includes mentorship, practice tests and industry experience. 

This comprehensive guide offers a step-by-step approach to selecting the ideal program, identifies leading providers, provides tested FRM exam preparation tips, and outlines the steps to launch a fulfilling Career in financial risk management.

What Is the FRM Certification Course India?

A FRM certification course in India prepares candidates with the expertise to measure, control and hedge financial risks. 

Main features:

  • GARP‑aligned syllabus: Part I—Essentials of Risk Management, Quantitative Analysis, Financial Markets & Products, and Valuation & Risk Models; specialised topics in Part II.
  • Exam format: Two computer‑based tests—Part I (100 questions) and Part II (80 questions), each four hours long.
  • Practical experience: Two years of work experience in the relevant field (prior to or within ten years after the exam) for certification.
  • Global recognition: Appreciated by banks, asset managers, regulators and corporates; more than 160,000 FRM professionals worldwide.

Advantages of FRM Coaching

Enrolling in a program with clear advantages of FRM coaching gives you:

  • Structured coverage of every GARP topic, including new market‑risk frameworks.
  • Expert faculty: Practising risk managers share live case studies.
  • Mock tests & analysis: In‑depth report cards identify weak points.
  • Career guidance: Resume building sessions, mock interviews and alumni connections.

Research suggests guided contenders outperform self-study rivals by 20% on mock-exam attempts.

Best FRM coaching in India

How to Choose the Best FRM Coaching in India

Remember these points while comparing any Best FRM coaching institute in India:

  • Faculty experience: Look for faculty with 10+ years of risk experience.
  • Study material quality: Best notes in the industry, practice quizzes and video lectures.
  • Doubt‑clearing sessions: One‑to‑one or small group guidance.
  • Mode of delivery: Flexibility in online, classroom or hybrid.

Compare transparently on fees, batch size, pass‑rate data and student testimonials before committing.

Global Market Outlook & India Job Growth

Career planning is facilitated by an understanding of demand:

The size of the global risk management market was USD 15.4 billion in 2024 and is expected to rise to USD 51.97 billion by 2033 at a CAGR of 14.6%. (Source)

The BFSI sector in India will grow by 9% in 2025, creating thousands of new risk-specialist jobs.

Salary Information: New FRMs in India get ₹6–10 lakh, mid-career professionals ₹12–20 lakh, and senior risk managers more than ₹30 lakh annually.

Salary Bracket based on Job

JobExperienceAverage Salary (₹)
Risk Analyst0–2 years₹6–8 lakh
Credit Risk Manager3–5 years₹10–15 lakh
Market Risk Manager5–8 years₹15–22 lakh
Operational Risk Specialist2–4 years₹8–12 lakh
Senior Risk Consultant8+ years₹25 lakh and above

FRM Exam Prep Tips

Take these FRM exam prep tips on board to pass:

  • Develop a solid study schedule: Spend 2–3 hours a day on theory, practice and revision.
  • Analyse mock-test results: Identify areas where you get less than 60% and go back to basics.
  • Combine resources: Absorb institute study material and sites such as Bionic Turtle and Kaplan Schweser.
  • Study groups: Regular peer sessions have high motivation and clarify doubts.
  • Practice as real exams: Attempt full-length timed mocks once a month to develop endurance for exams.

Exam Difficulty & Pass Rates

  • The Part I pass rate of 44% indicates the difficulty of the quantitative content.
  • 56% pass rate for Part II, centred on case studies and practical principles.

With 300+ study hours, students achieve a 30% improvement in passing rates, according to international surveys.

Distinct Practical Approach: ESG & AI Risk Modules

A distinct feature is the integration of ESG risk and AI-risk frameworks:

  • ESG risk workshops: Gain insights on climate, social‑impact and governance‑failure case studies.
  • AI risk labs: Practical training in algorithmic bias, model‑validation and real‑time monitoring.
  • Regulatory updates: Get ahead of new standards such as Basel III and SFDR.

This is ensured to position you at the forefront of both past and new risk areas, thus future‑proofing your knowledge.

Developing Your Career in Financial Risk Management

A promising career in financial risk management is a combination of certification and practical experience:

  • Networking: Attend GARP chapters, webinars and risk forums.
  • Continuous learning: Study journals such as the Journal of Risk Model Validation (JRMI).
  • Hands-on activities: Finish capstones in VaR modelling or credit-risk simulations.
  • Diversify credentials: Use FRM with CFA or CAIA to diversify career opportunities.
  • Mentorship: Take guidance from experienced FRM professionals on LinkedIn and industry conferences.

How Imarticus Learning Stands Out

Imarticus Learning’s FRM preparation program stands out by:

  • Experienced mentors: Learn from faculty and leaders who provide real-world experience.
  • Weekly mock exams: Regular exams with extensive analysis and tailored action plans.
  • Individual doubt-clearing: One-on-one personalised mentoring to solve individual problems.
  • Career guidance: Resume-building workshops, LinkedIn optimisation, and interview coaching.

Frequently Asked Questions

What is the FRM exam structure?

Part I is for tools; Part II is for case studies and applications.

How do I enrol for a FRM certification course in India?

Register on GARP’s website and choose an approved education partner.

What are the qualification requirements to become a FRM charterholder?

 A bachelor’s degree (equivalent) and two years’ work experience.

How long are coaching courses?

 Usually 4–6 months, depending on the institute and delivery mode.

Can I study online?

Yes—leading institutes provide live classes, recorded lectures and discussion forums.

What are the most important FRM exam prep tips?

Adhere to a disciplined study plan, regular mock exams and group studies.

How does coaching benefit career?

It guarantees all-inclusive coverage, exam preparedness, and worldwide networking.

Conclusion

Choosing the Best FRM coaching in India forms the stepping stone for a successful Career in financial risk management and a path to a gratifying career in global finance.

Key Takeaways:

  • Comprehensive Curriculum: Completely GARP‑aligned and updated.
  • Expert Mentorship: Industry experts mentor you.
  • Market Demand: USD 15.4 billion market growing at 14.6% CAGR.

Ready to take over the world of global risk? Join Imarticus Learning’s FRM preparation program today and change your career.

Best Banking Coaching in India. Why Should You Go for One?

Posted on by Imarticus Learning

Quality coaching matters while building banking careers. India’s economy is thriving with plenty of space for commercial bank careers, investment banking careers, and specialist finance careers. Competition is fierce as well, however. To be successful, you require India’s finest banking coaching—a program that not just sets you up technologically but also industry training, placement support, and on-campus exposure.

Whether it is investment banking institute coaching, bank exam preparation courses, or top banking courses with placement, proper coaching can form your career. In this blog, we will reveal to you the key things to keep in mind while choosing the best program, share thoughts on career coaching programs in emerging finance careers, and discover how systematic banking operations training in India such as CIBOP can alter your fate.

Why Do You Need Banking Coaching?

More than book theory is needed in banking careers. The financiers too have their problems, regulatory situations, and operations issues. Self-study does not stand a chance to provide exposure necessary to succeed.

Challenges without proper banking coaching:

  • No exposure to actual banking operations.
  • No interview preparation for finance.
  • Very little compliance, risk, and securities operations training.
  • No ability to identify career progression with organisation.

The best banking coaching in India bridges the gaps by employing sector-specific curriculum, practical training, and career advising.

What Defines the Best Banking Coaching in India?

All courses are not made the same. In order to be effective, a course needs to be more than a textbook and share cutting-edge employability.

The hallmark features of best banking coaching:

  • Investment banking course syllabus – Investment banking, securities, compliance, risk management, and wealth management.
  • Practical Exposure – Case study training, projects, and live simulations.
  • Placement Assurance – Chances for placement through best banking courses make career shift simple.
  • Industry Recognition – Recruiters prefer certified professionals from top-class institutes.
  • Flexibility – Weekday batches as well as weekend batches to suit graduates and professionals.

Banking Exam Preparation Courses vs. Investment Banking Coaching

All the aspirants for test preparation confuse investment banking coaching centers and courses for banking exam prep. Both are helpful but for different purposes.

  • Banking Exam Prep Courses make you skilled in sitting for IBPS, SBI PO, and RBI exams. Banking exam prep courses deal with reasoning, quantitative ability, general awareness, and aptitude.
  • Investment Banking Coaching Institutes like CIBOP prepare you for a career in corporate banking and finance by exposing you to securities, asset management, and compliance.

The decision between them is based on whether your aspiration is bank banking in the government sector or corporate finance as a career.

Spotlight: Certified Investment Banking Operations Professional (CIBOP)

Among all the career courses in finance, Certified Investment Banking Operations Professional (CIBOP) is one of the finest career options for finance pass-outs.

Why CIBOP is the finest banking training in India:

  • 100% Job Guarantee with minimum 7 assured interviews.
  • Placement Rates – 85% students placed per batches of maximum 9 LPA.
  • Legacy – 1200+ batches, 50,000+ trained students.
  • Strong Network – 1000+ hiring partners of top investment banks.
  • Industry Award – Best Education Provider in Finance for the 30th Elets World Education Summit 2024.
  • It’s not a certificate – it’s a career booster for anyone willing to become a banking operations professional.

Benefits of Job-Oriented Banking Courses

Select top placement banking courses and redirect your career paths:

  • Guaranteed Career Path – No doubt, you have set the career path for joining finance.
  • Practice-Intensity Training – Real-case training prepares you for the job from day one.
  • More Salary Hike – 60% average salary raise post-certification.
  • Confidence Career – Resume preparation and mock interview sessions give your profile that sparkle.
  • Networking Edge – Connections within corporate networks through placement drives.

Banking Operations Training in India

Modern. Banking is no numbers game—it’s operations. Operations training in Indian banks gets you ready for back-and middle-office roles that drive investment banking.

What you’ll learn in operations training:

  • Securities and derivatives operations.
  • Wealth and asset management.
  • Risk and compliance systems.
  • Anti-money laundering controls.
  • Operations of financial markets.

Institutes such as CIBOP prepare you for domestic and international banking careers.

Finance Career Coaching Programs: Who Should Enroll?

A good career coaching finance program is most appropriate for:

  • Recently Graduated – Looking for first banking career.
  • Early Professionals (0–3 years) – Looking for investment banking career.
  • Finance Enthusiasts – Looking for securities, markets, and compliance careers.
  • Career Changers – Professional looking for safe and successful banking career.

How to Choose the Best Banking Coaching in India

Compare coaching courses on below points before making decision:

  • Placement Guarantee – Does it offer placement or interviews?
  • Course Relevance – Does it cover investment banking operations and financial markets?
  • Faculty Expertise – Are instructors industry professionals?
  • Convenience – Are weekday/weekend timings for study offered?
  • Alumni Success – Is the course having mind-blowing placement records?

Based on these parameters, CIBOP is always India’s number one banking coaching.

CIBOP vs. Other Banking Coaching Programs

FactorCIBOPTraditional Banking CoachingMBA Finance
Duration2.5–5 months6–12 months1–2 years
Placement100% job guarantee in bankingLimitedNo guarantee
CostAffordableModerateExpensive
RecognitionHighMediumHigh
Practical ExposureStrongModerateLimited

This is why finance graduates like so many opt for CIBOP rather than traditional banking exam coaching courses or MBAs. 

Know why you should pursue CIBOP Course Here

Best banking coaching in india

FAQs

Q1. What is the best placement coaching in banks in India?

CIBOP is better due to a 100% job assurance and 1000+ recruiting companies.

Q2. Is investment banking coaching and banking exam preparation courses distinct?

Yes, as exam preparation is for public sector exams and investment banking coaching is for private sector finance experts.

Q3. Is MBA in Finance better or banking coaching?

MBA is a common knowledge subject but time- and cost-intensive. Instant and guaranteed placement is facilitated by organizations such as CIBOP.

Q4. For whom can finance career coaching programs be utilized?

It can be utilized by freshers, youth working professionals, and career switch to investment banking field.

Q5. How long is India’s investment banking training program?

CIBOP offers weekday and weekend batches of 2.5 months and 5 months respectively.

Q6. Will the program result in a salary increase?

Yes, students receive an average 60% post-certification salary increase.

Q7. Is career-oriented banking course worthwhile?

Yes—guaranteed interview, placement, and industry exposure.

Q8. What are the career opportunities after CIBOP?

Securities operations, compliance, wealth management, and financial markets career.

Q9. Is CIBOP recognized internationally?

Yes, its alumnus serves investment banks worldwide, hence an acceptable qualification.

Q10. Whether there is any center to avail investment banking for freshers with guideance?

Yes, CIBOP has a well-established procedure for freshers with 7 certain interviews.

Conclusion

It’s not just ambition that it takes to pursue a career in banking—it takes training, preparation, and mentoring. More competition requires choosing the best banking coaching in India, which may give you the investment banking course benefits to excel in exams, interviews, and practical assignments. 

Such courses as CIBOP do not just educate you on Indian banking operations, but also give you guaranteed placement, interviews, industrial exposure and knowledge on how to get hired in ib. While from bank exam coaching centers to investment banking coaching centers there are plenty of them in numbers, a career guide course in finance that can provide you with success stories is the best option.

If you’re serious about your finance career, it’s time to invest in the right coaching. Enroll in a program like CIBOP Course today and unlock your future in banking.

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