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Introduction To Data Analytics: Technologies, Jobs and Careers

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Introduction To Data Analytics: Technologies, Jobs and Careers

Nowadays, Data Analytics has become a sort of a buzzword in the data science industry. Just have a look at any of the job websites, and you will see that there are many vacancies in data science. Even Harvard University has labelled it as one of the hottest job fields in the USA, and India is also a part of the same trend.

So, what is the reason behind this craze for data analytics and data science jobs? Let’s have a look.   

What is Data Analytics, and what does a data analyst do?

Data Analytics is a subset of Data science. It is where raw data is cleaned, analysed, interpreted and displayed using several approaches with the help of business intelligence tools. These data analysis tools transform raw data into interpretable information that aids in making successful decisions.

But how is the data presented? Raw data is converted into meaningful information, statistics and explanations with the help of tools and techniques. There are multiple tools that data analysts use for generating all the interpretations of data.

At the same time, there is some programming expertise that a data analyst requires. For example, they could learn either of the two programming languages, R and Python, to process the data. For storing this data, they could use SQL. But the entire tech tools a data analyst needs are mentioned in the next section. So, just continue to read the topic till the end.

Technologies employed by Data Analysts

Several tech tools and programming languages can make the life of a data analyst easier. As already mentioned, data analysts have to process raw data and use it to generate various graphical representations. For that, they need to –

  • Identify the data they require
  • Collect raw data from the specific source they have identified
  • Clean the data and remove the inconsistencies
  • Analyse the data
  • Interpret the results

To perform these functions, data analysts use several tools. First of all, let us delve deeper into the programming languages that come in handy.

  • Python
  • R
  • SQL
  • Hadoop for big data

corporate leadership

The best thing about these programming languages is that there are multiple online resources to master these programming languages. You will find millions of tutorials to learn Python online.

Apart from the programming languages, you need to master some of the tools that are mentioned below:

  • Google Sheets
  • Microsoft Excel
  • Tableau
  • SAS(Statistical Analytical System)
  • Microsoft Power BI
  • Jupyter Notebooks

Mastering these tools and programming languages is quite important because they help you by making your job easier. You get to learn all these in a good data analytics certification course, and you can get in touch with us at Imarticus Learning.

Jobs for Data Scientists

Data science jobs stretch across various sectors. It has always been used for business, in both sales and marketing. Not only that, it is also handy for retail so that the inventory can be managed. Apart from business, it is used in medical infrastructure, operation research, finance and allied sectors. It is also being used in the entertainment field for various data-based jobs, especially for calculating the TRP of various shows.

Now it is also being used in education, law, security, automobile industry, energy sector supply chain, social media and in various fields of research. Data analysis has crept into almost every industry as it is finding a lot of applications in various fields.

But which are the most popular roles that are also enjoying a huge career and salary growth? Some of these roles are mentioned below:

  • Medical and health care analyst
  • Market research analyst
  • Business analyst
  • Business intelligence analyst
  • Operations research analyst
  • Intelligence analyst

These jobs are the top roles across various industries and job sectors. You will find multiple listings of these roles in all the leading job portals. Some of the beginner roles start above the ₹5,00,000 pay bracket. However, if you have completed a good data analytics certification course, then you will be able to command a good salary from your employing organisation.

The overall career of a Data Analyst

Choosing data analysis as a career path is a great decision, especially in the current market. After bagging a beginner role, try to gain more technical skills. Then you move to the position of a data scientist.

But there is a clear bifurcation of the career paths. For example, if your interest largely lies in statistics and data analysis, then try out business intelligence and analysis. But if you love the tech side, pick data science and data engineering as your career.

To conclude, the opportunities for data science jobs in the current scenario are increasing every year and are slated to grow even further in the coming years. So, being prepared with the necessary knowledge and technical know-how will greatly boost your career. In this regard, you can always look at the Post Graduate Program in Data Analytics and Machine Learning from Imarticus Learning to enhance your skill set. 

Industry Analysis: Learn How To Ace Your Investment Banking Interview

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Investment banking is the division of banking operations that helps companies to manage their significant and often complicated financial transactions. This includes IPOs, mergers, underwriting and other aspects of the derivatives market.

Now, the operation of investment banking is managed by investment bankers. These individuals are responsible for making such deals happen without any interruptions.

Why Should You Try to Get a Job in the Investment Banking Sector?

There are many reasons to become an investment banker; it is a high-paying job, offers you great exposure and has bright future prospects. So, whether it is money or career growth, you will find everything in this profile. Ultimately, you have to decide whether you want to get into this field or not.

If you are interested, read on to learn more about this sector.

How to Nail the Investment Banking Interview?

Nailing an interview for investment banking depends on how prepared one is. Now, many candidates apply for this job, but fumbling and freezing during an interview will not help anybody’s case.

Even though there are a lot of job applicants for investment banking, not all get to secure a job successfully. Many applicants fumble and freeze during an interview when they are put forth with some of the basic technical questions. So you are required to be prepared to answer the most basic investment banking interview questions. Here are a few examples:

  1. In how many ways can a company be valued?
  2. How is raising funds through bonds better than equity?
  3. What will happen to various financial statement figures if $100 has been added to the current depreciation account?

Questions like these that have been given above show you the level of questions that are asked in the IB interview. So you need to work hard and be prepared beforehand.

Tips That Will Help You Ace the Investment Banking Interview

As the previous section offers you a glimpse of what is investment banking and how the interview looks like, you need to be prepared to face it. So, to help you in this endeavour, here are some tips that can prove to be a handful.

  • Prove that you will be easy to work with

Usually, working in investment banking means working in a team and dealing with high pressure most of the time. So, if you turn out to be a person who is difficult to work with, it will disturb the flow of the entire team. Hence, showcasing a positive personality and the right attitude will help you nail the job interview.

  • Present your thoughts at the right time

 You should know how to time your sales pitch during the interview. Questions like, “why do you want to work in the investment banking sector and for this particular firm only?” or, “why would you be a good fit for the organisation?” You should usually time your pitch to about three or four minutes.

  • Being reserved and respectful towards the interviewer

Humility during the entire duration of the interview is a must. You need not behave like a know-it-all snob who is full of overconfidence. This should also be evident from your communication. You should also try to answer clearly and concisely.

  • Eager to learn

You need to show to the interviewer that you are always ready for a challenge and keen to learn new things on the course.

  • Reach out to some people in the firm beforehand 

Another way to get through an interview easily is by contacting the employees of the firm in advance. You can get a sense of the firm’s ideology, how it functions, its clientele, etc. This will surely give you an advantage in your interview.

  • Get your facts right

Apart from presenting yourself, you must also answer the questions properly. Hence, you need to have a good grasp of your subject. In this regard, you can enrol yourself on an investment banking course with Imarticus Learning. These professional courses will give you an all-around preparation, which will also help you to get through the interviews as these are investment baking courses with placement.

To sum up, acing an interview, be it in investment banking or any other field, depends on your preparation. So, now that you know what is investment banking, how crucial the interview process is and the challenges that it brings, you can plan your preparation accordingly and find a job without any hassle. 

Financial Modeling Training in 2022: How to get started without experience?

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Financial Modeling Training in 2022: How to get started without experience?

Financial modelling is a skill that helps a retail organization decide how and where to open its store. It is a key skill that is mandatory if you are looking for a career in finance. It is also helpful for entrepreneurs planning to start their own gig, and can even prove to be handy for marketing and sales professionals.

Financial modelling also includes looking at projections, evaluating the practicality of the decision, and analyzing the stock market in terms of cost, revenue, and profit.

If you do not have work experience, do not be afraid, you can still have your own business or make a career in finance by enrolling yourself in a financial modelling course.

 What are the Various Application Areas?

  • Corporate Finance

This model is used by various companies to evaluate their finances and projects and help create plans for funding projects.

  • Investment Banking

Financial modelling is the fundamental tool for valuation and analysis. An investment banker uses this model to come to a valuation in fundraising transactions. An equity analyst will use this model to come up with buy/sell or hold recommendations by applying them to value stocks.

  • Entrepreneurs

 

Entrepreneurs use the financial model to pitch their plans to prospective investors and to strategize their future plans. Carrying out various experiments can be beneficial to avoid any risks and financial loss in upcoming businesses.

Types of Models

When you enrol in a financial analyst course you will be taught about the following financial models:

  • Leveraged Buyout Model (LBO)

In this kind of layout, the firm will finance its acquisition via a considerable amount of debt. The LBO model is used so this model helps to critically analyze whether the business can manage the debtor if a certain degree of performance is needed to make sales and eventually pay off the debt.

  • Credit Rating Model

This model is employed by credit analysts to figure out the creditworthiness of a firm. The model makes assumptions with respect to future earnings and if the company can pay the interest and principle.

  •  Comparable Company Analyst

Under this model, the financial metrics of a company are compared with similar organizations in the industry.

  • M&A Model

The whole purpose behind the merger model is to decode the effect of the acquisition on the acquirer and whether the new EPS is comparable with the existing one. If the new EPS is higher, the transaction is referred to as ‘accretive’, and vice versa is referred to as ‘dilutive’.

 Skills You Need to Have

Although you can learn the tricks of the trade in this discipline by enrolling yourself in a financial modelling course, some skills that whether inherent or learned are essential to making this career work are:

  •         Prerequisite

Financial management and ratio analysis, financial statement, valuation methods, written communication, and analytical ability.

  •         Core Skills

Drawing up financial statements in excel, analyzing financial statements, and being able to build from scratch fresh financial models with high potential for success.

  •         Related Skills

Knowledge of mutual funds, debt markets, credit appraisal, and understanding of various financial market tools can help to build your business in finance, banking, and investment.

Conclusion

A financial modelling course is an in-demand qualification for many lucrative opportunities in the market such as equity researcher, portfolio manager, and credit researcher. If you do not have a background in this field professionally, you can easily join a course as a fresh graduate, post-graduate, or MBA student, and learn what it takes to be successful on this path.

Financial Modelling Training for Startup Founders

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Financial Modelling Training for Startup Founders

You’re starting a new business. You’ve got the idea; you know how to do what needs to get done, but how do you know if it’s going to work? You need some financial modeling training. This post will explain financial modeling and why it is essential for startups.

What is financial modeling?

Investment banking, equity research, portfolio management, project finance, credit research, financial planning & analysis, etc., all require the core competencies of financial modeling.

Financial modeling is creating a financial model that helps you make decisions and evaluate the impact of different scenarios. You can use it to forecast the impact of changes in crucial variables on your business, such as revenue or costs.

Financial models are created by combining data from various sources with assumptions about how these variables will change over time. The more detailed your financial model, the better it will predict outcomes for your company.

What is financial modeling training?

Financial modeling is a valuable skill for any business owner. It helps you understand the financial health of your business, make better decisions and plan for the future. If you want to start a startup but don’t know how much money it will cost or how much time it will take, then financial modeling training will be able to answer these questions for you.

Financial modeling can also help entrepreneurs manage cash flow by assisting them in tracking their expenses and revenues so they can see whether they’re spending too much on one thing or not enough on another area of their operation (for example: if one employee is working overtime every week then this could mean that you need more resources).

Why do you need financial modeling training?

Financial modeling training is a valuable skill for startup founders to have. It can help you make better business decisions and also allow you to forecast your company’s financial performance. This is an essential skill that people often overlook when they start their own businesses, but it’s one that they should consider investing in if they want their businesses to thrive. 

Basic financial modeling training is a great way to build your financial model. It will help you understand the fundamentals of financial modeling and how they relate to each other. You must understand how a cash flow statement and balance sheet differ from each other because they are built differently in most cases. 

Explore a Career in financial analysis with Imarticus Learning

The financial analyst certification course covers everything from financial statement analysis and valuation processes to modeling methodologies, enabling students to gain experience while mastering crucial abilities like teamwork.

Course Benefits For Learners:

  • Online training in financial analysis provides students with the knowledge and skills they need to become financial analysts.
  • Students will acquire essential abilities that will aid them in finding employment in the financial industry.
  • Students can impress potential employers and demonstrate their abilities by enrolling in financial modeling certification certified by India’s leading educational institutions.

Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

How Is Blockchain Revolutionising The FinTech Industry?

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How Is Blockchain Revolutionising The FinTech Industry? 

Blockchain: An Overview 

A blockchain is a distributed, digital and permanent ledger that helps record transactions and track assets across the entire network of computer systems present on the blockchain. 

The technology has added a new aspect to the fintech landscape and offered huge possibilities to the industry of fintech by making crucial changes to business enterprises. 

How Is Blockchain Revolutionising The FinTech Industry? 

Undoubtedly, blockchain is the backbone technology that is revamping the FinTech industry. 

Below mentioned are the ways in which blockchain technology is revamping the fintech industry.

  • Creating a digital identity: 

Though banks have a strict KYC check, fraudulent accounts are on a constant hike. Here comes the role of blockchain, where users can manage identity data, share data with others without compromising security, and sign documents digitally. 

  • No third-party interferences: 

There are chances for things to go wrong in case of multiple parties’ validations. With blockchain technology in place, payments can reach the vendor directly without any halt. 

  • Protects from fraudulent activities: 

Being decentralized in nature, blockchain technology keeps from providing access to other people. It cannot be altered in any way possible, making every record protected. 

  • Enhances trade accuracy: 

The merging of blockchain technology in the financial sector has rescued traders from troublesome counterparty checks. Through blockchain, the risks associated are reduced, and trade accuracy is enhanced. 

  • Crypto lending: 

One of the USPs of blockchain technology, which helps you hold money without the need of a bank. You can hold the crypto money in digital form with a digital wallet after investing in cryptocurrencies. 

Challenges Addressed by Blockchain in FinTech Industry  

The blockchain has the power to make business operations secure, transparent, efficient, and democratic. 

  • Trustability: 

When users perform any action on the fintech applications, they are unaware of what is happening on the other side, which creates chaos and anxiety about identity theft. On the other hand, blockchain redresses the problem with transparent working. 

  • High operation costs:

Time is often considered as money in the financial sector. Blockchain technology reduces the high operational costs by cutting down the time involved and reducing the dependency on third parties. 

  • Slow process: 

The involvement of various third parties in the finTech industry delays the overall process, which results in an unstable business economy. This is another challenge addressed by blockchain technology. 

Discover Financial Technology Courses with Imarticus Learning

Our financial technology course helps students: 

  • Practical application of learnings to real business problems and scenarios.
  • Get an in-depth understanding of every critical aspect of FinTech along with hands-on training.
  • Stay updated on the latest fintech industry practices by accessing resources powered by research, knowledge, and tech partners such as Rise Mumbai and Automation Anywhere, among others. 
  • Get full-time fintech career-ready by working on group projects and open bookcase study-based tests that test your fintech knowledge and application in a theoretical decision-maker role. 
  • Get access to fintech networking webinars, job boards, and events to leverage your fintech learning fully and unlock career opportunities.  

Conclusion 

Ideal for students with a bachelor’s degree in finance background, this elite Financial Technology Course is bound to take your finTech career to heights you have never imagined!

With the availability of financial technology courses online, it has become convenient for learners to gain access to information about each and every element of the FinTech domain. 

For any queries, please do not hesitate to Contact Us or drive to one of our training centers in Mumbai, Pune, Thane, Chennai, Bangalore, Delhi, and Gurgaon. 

Learn Hadoop Online: A Brief Summary of Apache Hadoop

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Learn Hadoop Online: A Brief Summary of Apache Hadoop 

Introduction To Apache Hadoop

A type of open-source software based on a Java programming framework, a Hadoop system is programmed to address any hurdle it faces. Using a skilled framework distributes unclear and large amounts of data in multiple programming systems.

Apache Hadoop provides increased effectiveness and efficiency with high productivity. Though it is a single server, it extends to various networks further connected to machines.

Components

Apache Hadoop has several components which play a critical role in bringing out the responsibilities of Hadoop. They are as follows:

  • Library deals with all the complications and discrepancies at the top layer of an application.
  • The Hadoop Distributed File System is the Storage unit that helps process stored data in various chunks and is efficiently transmitted with the help of cluster nodes. 
  • MapReduce is the processing unit. 
  • Yet Another Resource Navigator (YARN) is the resource management unit. 

Role of Apache Hadoop In Big Data

In the era of digitization, all information has to be stored digitally, and it is a huge challenge to control and manage all the data. It thereby creates a need to develop a system that can control, manage and handle an overabundance of such data. Thanks to Apache Hadoop, one can store and manage big data. Various roles played by it are:

  • It stores data at a lower cost: 

Apache Hadoop is designed in such a way that it can store data at much lower costs as compared to other systems available.

  • Velocity and variety: 

Apache Hadoop processes data and gives information to enterprises on time. It uses different techniques and tools to structure the data into valuable outcomes.

  • Provides security to big data: 

Apache Hadoop is also used to detect cyber attacks on the system as it uses different tools and techniques. It is also helpful in recognizing the attackers that try to attack and want to gain access.

Advantages of Apache Hadoop

Some of the advantages of Apache Hadoop are mentioned below.

  • Flexibility: In Apache Hadoop, data can be stored in semi-structured and unstructured formats. It also enables enterprises to access new data sources easily.
  • Scalable: Traditional systems have limited data storage capacity. On the other hand, Hadoop is highly scalable as it is distributed and stored across several servers.
  • Resilient: This system is fault resilient as it stores data in several nodes, and there is another copy to use in the event of a contingency.
  • Fast: The storage method used by Hadoop is rooted in a distributed file system that manages clustered data. The tools used for processing data are often located on the server where data is placed, resulting in faster data processing. 

Discover Data Analytics and Machine Learning Certification With Imarticus Learning 

Our Data Analytics Courses will help students:

  •  Learn job-relevant skills with the most in-demand data science tools and techniques. 
  • Master data science skills through 25 in-class, real-world projects and case studies from industry partners.
  • Learn with a curriculum that focuses on outcomes and a pragmatic learning style, including SQL programming, big data, Hadoop, data visualization with Tableau, etc. 
  • Obtain guaranteed interview opportunities and get hired.

Conclusion 

Ideal for recent graduates and early career professionals, this elite Data Analytics and Machine Learning Course will help you take your data analytics and science career to heights you have never imagined! 

For any queries, please do not hesitate to Contact Us or drive to one of our training centers in Mumbai, Pune, Thane, Chennai, Bangalore, Delhi, and Gurgaon. 

An Overview of Anti-Money Laundering Controls

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An Overview of Anti-Money Laundering Controls

Money laundering is the procedure of moving illicit money through legitimate financial channels. In recent years, there has been a growing interest in anti-money laundering (AML) controls. These controls prevent criminals and terrorist organizations from using financial institutions as unwitting conduits for their illegal activities. 

The extent to which these controls have been successful depends mainly on how well they get implemented by banks and other financial institutions worldwide and whether governments take action against those who violate them.

What is Money Laundering?

It is the process of making illegally obtained money appear legal. It’s a crime and one that can get carried out by anyone—not just criminals.

Money laundering is known as:

A) A person who commits an offense (such as drug trafficking), sells or transfers drugs to another person for profit, and then uses that money to launder large amounts of cash through legitimate businesses or banks.

 

B) The act of converting ill-gotten gains into assets that are not easily traced back to their source usually involves creating multiple layers within complex financial structures designed specifically for this purpose.

What are the objectives of money laundering?

Money laundering is not just about hiding the source of the dirty cash. It’s also about making it difficult to trace where that money came from and whether or not it’s legitimate.

Money launderers typically prefer to move money through secure financial systems because the goal of the practice is to return the illegally obtained funds to the source. Depending on the stage the funds have reached during the laundering process, money laundering activity may also be geographically concentrated.

What are some anti-money laundering controls?

The answers to this query depend on who you ask and what they mean by “anti-money laundering controls.” The most common definitions include:

  • Know Your Customer (KYC) – The business must be able to identify customers and their sources of funds. This helps prevent money laundering or other illegal activity. 
  • Software Filtering and Records Management– Businesses and financial institutions also maintain thorough records of all transactions and use software that can detect suspicious behavior. 
  • Updated technology- The technology used to spot suspicious activity connected to money laundering is constantly developing and improving. These systems can advance thanks to technologies like AI and Big Data software.

Anti-money laundering controls are critical to any financial institution’s effort to prevent money laundering. This area requires constant vigilance, both from the perspective of compliance and from the standpoint of prevention.

Explore a career in investment banking with Imarticus Learning

financial analyst courses in India

With the help of the Certified Investment Banking Operations Professional program, students can begin a career in the financial markets. Students who complete this investment banking certification course will have the skills and knowledge necessary to succeed in banking, treasury, and clearing services at all stages of production. The investment banking course syllabus covers financing, strategic planning, financial management, and the valuation of investment prospects.

Course Benefits for Learners:

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Investment banker course insights: 5 skills that make you a rockstar investment banking analyst

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Investment banker course insights: 5 skills that make you a rockstar investment banking analyst

What is Investment Banking?

Investment banking is stated as one of the Top 2 careers in India. It is a specialized branch of banking that helps organizations and individuals in raising financial capital and provides them with financial consultancy services. Investment banking primarily provides services in the sectors of banking that are outside the normal ambit of banking operations. It deals with:-

  • Financial Modeling  and Valuation
  • Advising on Mergers and Acquisitions
  • Leveraged finance
  • Restructuring
  • New Issues or IPOs

What does an investment banker have to do?

As an investment banker, you are required to have mastery over the tools such as financial models, pitch books, industry research, and report writing, which are extensively used in this field. The use of these tools demands knowledge of the quantitative part (financial statement analysis, ratio analysis, DCF models, M&A models, etc.) and the qualitative part (industry research, pitch books, report writing, case studies, company profiles, etc.).

In the financial milieu of today, investment banking offers immense career possibilities. Equipping yourself through a good course, which provides you with a balanced combination of the theoretical and the practical parts, is likely to propel your career growth as an investment banker. There are several investment banking courses online that will give you the knowledge, application ability, and try-outs in a well-structured and holistic manner.

 Top 5 Investment Banking Courses Online

The impact of the online courses needs to be mapped judiciously through the parameters of –

  • Time (duration of the program)
  • Course content and pedagogy
  • Quality of trainers and mentors
  • Facilities for internship and placements
  • Return on your investment

Considering all parameters, here are 5 of the top investment banking courses online available in India in 2022. These are randomly put and do not reflect any order of merit in respect of the courses mentioned.

  1.   Certified Investment Banking Operations Professional (CIBOP)

The CIBOP has completed 1000 batches. Its curriculum covers complex securities and derivative products and includes their trading lifecycles and functions.

The holistic CIBOP curriculum is designed by industry experts.  Euronext Group, a partner to the program, allows exclusive access to their own content to CIBOP students. This investment banking course online includes hands-on learning, actual case studies, and trading simulations.

The program is flexible to suit your own time availability and schedule. CIBOP is delivered both in classrooms and in online mode. You may complete the 180-hour course through a 2-month program done full-time (on weekdays) or as a 3-month part-time one done over the weekends.

The program includes live and relevant case studies. Trading simulations allow for an opportunity to exercise your own decisions and gain insights into the derivatives and securities markets.

If you meet the criteria for scores and attendance in each of the three parts of the course, you are eligible for placement services.

You are eligible for enrolment if you are a commerce graduate or a finance graduate with 0 – 3 years of experience.

  1.   Executive Program in Investment Banking and Capital Markets

This investment banking online course is designed for working people with classes usually scheduled on Saturdays, from 6 pm to 9 pm.

This comprehensive program spans three foundation modules and seven advanced modules. These impart knowledge in the fundamentals of mergers and acquisitions, debt and equity capital markets, portfolio management, sales and trading, and securities regulations. 

You learn through real-world projects and case studies, live examples from the recent capital market and corporate finance events, and general discussions. You get to do a capstone project to apply your learning to practice.

You are evaluated through assignments, online and written examinations, and other methods.  There is a mandatory six-day immersive on-campus part to this program facilitating interaction with your peers and faculty.

Your certificate is issued by the Indian Institute of Management (IIM), Calcutta one of the rare triple crown accredited management schools in India) as partners to this program.


  1. Advanced Management Program in Financial Services and Capital Markets

This 6 months, 126 hours online investment banking course embellishes your basic financial knowledge and skills with the fundamentals of corporate finance, risk management, and compliance, Fintech, capital markets, valuation, and equity research.

You gain expertise in subtleties of investment banking, capital markets, risk, and Fintech domains through an outcome-focused curriculum delivered through hands-on learning. This course includes the new age elements across Digital Banking, Technology, and Fintech.

Apart from certification by IIM Lucknow, learnings from case studies like the Financial Policy at Apple, Valuation of Calaveras Vineyards, Risk Management at Well Fleet Bank, etc. will comprise key takeaways that will help enrich you.


  1. PG Program in Investment Banking and Capital Market

Captioned as one of the most exhaustive certification programs in investment banking it spreads over 180 hours of live training and 36 hours of project-based learning spread out over 6 months. Classes are held over weekends to aid working professionals.

Taught by industry professionals across investment banking, the course comprises 17 modules across the entire gamut of investment banking, financial services, and capital markets. Placement assistance and interview training are included as part of the curriculum.

Live case studies are included in this investment banking course online. Some of the examples include the Vodafone-Idea merger, Flipkart’s acquisition of Myntra, and Harvard taught case studies.

The program is collaborated by the London Governance and Compliance Academy (LGCA) and three different certificates are issued upon its successful completion, all widely recognized by the industry.


  1. Certificate in Investment Banking (CIIB)

The prime focus of this investment banking course online is on Investment Banking Basics, Financial Statement Analysis, and several other crucial financial concepts. This investment banking course online is aimed at professionals in finance seeking advancement in their careers.

The program uses interactive learning tools and builds an expert foundation in investment banking, securities and markets, and other areas of financial consultancy.

CIIB requires qualification through a comprehensive global certification exam, which is designed to examine your skills and level of understanding of investment banking. Your IB certificate thus bears testimony to your capability to develop a disciplined and systematic approach toward Mergers and Acquisitions, LBOs, IPOs, restructurings, and other investment decisions.

 In Conclusion

These are five of the best online courses on investment banking and capital markets. These courses help you kickstart your investment banking career and gain a foothold in a fast-growing career path. Hone your skills and learn from the best with the help of these courses.  

Transitioning to Data Science: How To Get There?

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Transitioning to Data Science: How To Get There?

The emergence of big data has prompted businesses to rely on data to make informed decisions. But how do you make sense of all that data?  That’s where the data scientist enters the scene.

A data scientist collects, analyses, and interprets data to make business recommendations. They do this by using AI, Statistics, and Computer science. They can apply these skills to a wide range of industries such as healthcare, finance, and retail.

The Data science career is an excellent choice for those interested in working with data. And it’s pretty rewarding with the right skills. Whether you want to advance in your career in data science or start, many options are available. One of the most effective ways is through data science courses.

These courses enable students with the right skills and knowledge to succeed. Let’s explore how you can transition with the help of proper data science online training.

Transitioning to Data Science via Applied Learning Courses 

The easiest way to transition to the data science space is to learn the fundamentals of the subject. Consider enrolling in a data science online training program that incorporates applied learning.

This learning method is convenient since students are not restricted to physical classrooms. Also, it offers students the flexibility to learn at their own pace, anywhere, and at any time. 

The learning model in an online environment is flexible and includes various resources. These include videos, lectures, articles, books, and one-on-one interactions with the instructor. Next, let’s talk about what you’ll need to learn in your data science course.

Data Science Online Training Curriculum

To transition into data science, you’ll need to learn the fundamental concepts, including:

  • Statistics
  • Probability Theory
  • Probability Distributions
  • Hypothesis Testing
  • Statistical Tests

These topics form the core of any data science course. Moreover, an understanding of Machine learning and Predictive Modelling is also required. Apart from these topics, you’ll also learn about some essential tools and languages. These include:

  • Python
  • Tableau
  • SQL
  • NumPy
  • Pandas

Combining these tools with fundamental concepts will help you in your data role.

What Makes a Good Data Science Online Training?

So, we’ve considered the curriculum requisites for transitioning into a data science career. Now, let’s examine what makes a great data science course based on applied learning: Faculty from top institutes such as IIT/IIM and other industry experts.

  • Live instructor-led online sessions with access to the session recordings and notes.
  • Online discussion with course faculty and peers to clear doubts and brainstorm.
  • Real-world case studies and live projects to provide insight. These concepts can predict property value, heart disease, taxi fare, etc.
  • Regular assignment assessments to track progress.
  • A Capstone project to collate and present the course learnings.
  • Career support activities, including resume-building workshops and mock interviews for job placements.
  • Startup mentorship and funding for those looking to start their ventures.
  • Certification of completion.
  • Access to an alumni network and a chance for an on-campus immersion program.

A course providing these things will ensure that you learn data science skills and make data-driven decisions. One such data science online training based on the concept of applied learning is offered by Imaticus Learning.

About Imaticus Learning

Imarticus Learning, in collaboration with iHUB DivyaSampark @ IIT Roorkee and the Department of Science & Technology (DST), offers one of the best certification programs in Data Science and Machine Learning. 

Since the program is made especially for the early and mid-level professionals, you’ll understand the various aspects of data science and learn how to implement and apply these concepts to real-world problems. 

Imaticus Learning covers all the points that make for excellent data science online training program, as mentioned earlier. Check out the success stories of those who transitioned into the data science field. Some alumni work with big brands such as Accenture, Capgemini, KPMG, etc.

You can visit the Imarticus Learning website for live chat support. You can also drive to one of their training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Conclusion

As data becomes central to decision-making in organizations, those with the skills to analyze and interpret it will be in high demand. Starting or transitioning to a data science career requires a strong foundation. And to help you with that, you can look for result-oriented data science courses.

Attending these courses helps you develop the skills needed to become a top Data scientist, Data Analyst, Business analyst, Data manager, Business Intelligence expert, etc.

This blog discussed what constitutes a top data science online training program and explored one such institute in Imaticus Learning. Feel free to check it out. Also, let us know your opinion on the necessary things for transitioning into the data science career.

Top 10 Popular Data Analytics Tools For A Better Career

Posted on by Imarticus Learning

Top 10 Popular Data Analytics Tools For A Better Career

Data is definitely today’s one of the most valuable assets. We all know the limitless power of data and how it dictates business operations. Whatever the scale of a business, data makes the core of it. Not only businesses or IT hubs are using data analytics, but various other fields are also taking the advantage of it. Let us take a very simple instance to understand how data analysis works.

Let us take sports as a case study. This will help you understand that a field that is remotely connected to science and technology is extracting its benefits. Assume X is a tennis player who has been on the circuit since 2005. He has been touring all over the world, participating in various tournaments, and has recently put his shoes off. Now, you get to see his performance graphs, how consistent he was, which were his favorite shots, etcetera on television channels. This is the most common scenario when the stats are analyzed post-retirement. Have you ever thought about how that is possible? 

 For instance, all the records and stats right from his first match to the final match with a comparative analysis require rigorous data analytics. It is humanly impossible to gather all the data and then filter out necessary ones manually. 

Here comes data analytics tools that help you perform the task effectively. Go through the upcoming sections to get familiar with the new-age data analytics tools.  

An Introduction to Data Analytics

We are currently living in the world of data and therefore you will often be advised to learn data analytics. 

Data analytics tools are particular applications and/ or software that enable data analysts to work with a large volume of data. Data, in its crudest form, is unstructured and haphazard. A data analyst filters out unnecessary data and then collates the required information in the database. This is structured data that can be used effectively for future references. 

Data analytics tools help manage and work with data. In other words, useful data is actually the derivation of structured data via data analytics tools. Find below a list of the latest tools that are used by the giants of the industry like Google, Facebook, Apple, Dominos, and others.  

Top 10 Data Analytics Tools

Python

One of the most widely used programming languages among AI developers today is Python. It can be used effectively to run programs because it does not need to be pre-compiled into machine code. Additionally, it has an automatic memory management system and a dynamic type system that support a wide range of programming paradigms.

Microsoft Excel

It may sound trivial but in reality, Microsoft Excel works as a strong data analytics tool. Numerous filters, formulae, and other features enable users to analyze data effectively with Microsoft Excel. Asa matter of fact, this is the very tool we all perhaps get to learn in our schooldays. 

RapidMiner

As the name suggests, RapidMiner is an excellent data analytics tool used for data mining. Data mining includes scopes such as visualizing, filtering, structuring, storing, and managing big data. 

QlikView

QlikView is a self-service business analysis tool that you should learn to be at par with the most recent trends in data analytics. Samsung and CISCO are among the tycoons that use QlikView for data analytics.

Apache Spark

Apache Software Foundation came up with one of the most useful data analytics tools that empower users with multiple features. Above all, this is an open-source application used by Visa, Oracle, and other big names. 

Talend

If you are eyeing a data integration tool, then Talend is the suitable solution for you. Talend incorporates an ELT backbone which ensures the safety and simplicity of the interface. 

Splunk

Splunk is among the widely used data analytics tools to visualize, filter, and analyze raw data. It is favored and trusted by 92 of the top Fortune 100 companies.  

Tableau

Tableau offers you a simple, user-friendly interface to work with a cluster of structured and unstructured data. It is one of the rare tools that allows you to work on live data sets. 

Datapine

If you want to get a grasp of data analytics, you should start with a simple yet effective analytics tool. Datapine is one of those tools that allows beginners to work with a large scale of data without complicating things.  

SAS Forecasting

Data forecasting or data prediction is an important part of data analytics. For example, you may need to predict a stat for the future based on available current data. SAS Forecasting is the ideal tool to do such things easily.  

Best Data Analytics Certification Course

Data analytics is a topic that has earned a reputation in and outside India as one of the vital operational wings of the business. Competent data analysts are placed in big national and international agencies with handsome salaries. Thus, students often look for the best data analytics certification course. Imarticus has an integrated post-graduation course on data analytics that prepares trainees for a bright future. 

Data Analytics Course with Placement

You should learn data analytics from a reputed institution that offers you a data analytics course with placement opportunities. 

Placement immediately after the course will boost your morale and also introduce you to the real world of data analytics. You will get to know how the giants of industries run their businesses with the power of effective data analytics.  

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