Python vs R: Why is Python Preferred for Data Science?

Python is a high-level and fast-growing programming language which is ideal for scripting both applications as well as websites. Even though there are several programming languages such as C++, SQL or R that are widely used by aspiring data scientists, Python stands out from the rest. 

become a Data Analyst

A career in Data Analytics ensures a promising future for those who can master the fundamental programming concepts and apply them to solve real-world problems in any business.  

It is imperative to know how to employ data analytics tools to evaluate the performance of a business. Knowing a programming language like Python can be extremely effective as it helps you build these tools. 

Some data scientists, on the other hand, use R to analyse data through interactive graphics. In fact, R is a frequently chosen programming language for data visualisation. It is, however, important to understand on what grounds Python and R are different and why Python is the most preferred programming language in this profession. 

What Is Python?

Python is extremely versatile and it is among the most dynamic and adaptable programming languages used in data analysis. It is used to develop complex numeric as well as scientific applications. You can use this programming language to perform scientific calculations.  

It is an open-source and object-oriented programming language with a rich community base, libraries and an enormous arrangement of tools. Compared to other programming languages, Python, with its straightforward code, is much simpler to learn because of its broad documentation. 

What Are the Features of Python?

The significant features of this programming language are

Readable: In comparison to other programming languages, it is much easier to read. It uses less code to perform a task. 

Typed language: The variables are automatically created as it is a typed language. 

Flexible: It is quite easy to run this programming language on multiple platforms as it is flexible and adaptable. 

Open-source: It is a free programming language. It uses an easily accessible and community-based model. 

Why Is Python Important in Data Science?

Whether you are already a professional data analyst or someone who aspires to explore a lucrative career in Data Analytics, it is imperative that you know how to use Python. Some of the most prominent reasons why this programming language is preferred for data science are:

Easy to learn and use: With better comprehensibility and simple syntax it has become extremely popular over the years. It is also quite easy to handle the data through its data mining tools such as Rapid Miner, Weka, et cetera.

Builds superior analytics tools: It is a dynamic programming language that provides better knowledge and correlates data from large datasets. It also plays a crucial role in self-service analytics. 

Important for deep learning: It assists data scientists to develop deep learning algorithms which were majorly inspired by the architecture of the human brain. 

Creates data analysis scripts: Data analysis scripts can be created using this program within Power BI

Has a rich community base: Python developers are able to address their issues within a huge community of data scientists as well as engineers. Python Package Index, for example, is a great place for developers to explore this programming language. 

What Is R?

R is a versatile, statistical and advanced programming language which is primarily used for interpreting data. It works perfectly for data visualisation, web applications and data wrangling. It is also used to perform statistical calculations and that too without vectors. R makes collecting and analysing large datasets easy. 

What Are the Features of R?

The important features of R include

Open-source: R too, is free, adaptable and accessible to all. It can be easily integrated with multiple applications. 

Static graphics: R has powerful and interactive static graphics which produce high-quality data visualisations. 

Statistical calculations: This programming language can perform both simple as well as complex statistical calculations. 

Compatibility: This programming language is compatible with other programs such as C, C++, Java, et cetera. 

Python vs R: Which Programming Language Is Preferred in Data Science?

The primary reasons why Python is often preferred over R are:

Purpose: Both these programming languages serve different purposes. However, even though both are used by data analysts, it is Python which is considered more versatile in comparison to R. 

Users: The software developers prefer Python over R as it builds complex applications. Statisticians and researchers in academia, on the other hand, prefer using R. 

Ease of use: Beginner programmers prefer Python because of its English-like syntax. R, on the other hand, can be difficult once a programmer starts exploring its advanced functionalities. 

Popularity: Python outranks R mainly because it can be used in several software domains. 

However, despite these differences, both these programming languages have robust ecosystems of libraries and are extremely crucial for an aspirant who wishes to start a prospective career in Data Analytics.

Conclusion

A career in data science is considered one of the most successful professions in recent years. If you want to learn data analytics techniques, it is imperative that you learn Python

In order to pursue a career in Data Science, you should choose a proper data analytics certification course that introduces you to this programming language. 

Imarticus’ Postgraduate Program in Data Science and Analytics is a job-assurance program that helps you navigate all aspects of this profession. The curriculum of this course covers all the fundamental data analytics concepts including data analysis, introduction to important programming languages such as SQL and Python, data visualisation with Power BI or Tableau and applications of machine learning. 

Can Students from Non-Commerce Backgrounds Become Investment Bankers?

An investment banker is a professional who works in the finance industry, usually in the context of investment banking firms. They are typically involved in raising capital for companies, governments, and other organisations, through issuing and selling securities such as stocks or bonds. While a background in commerce and economics is commonly associated with investment banking, it is not a requirement. 
Investment Banking course

A person working in any other field can always make a paradigm shift to investment banking with the correct skill set. For example, students with degrees in engineering, mathematics, or physics may have a strong aptitude for analytical and quantitative work, making them well-suited for a career in investment banking.

What is the skill set that one should possess to become an Investment Banker?

Almost all investment banks have training and development programs in place that provide employees with the necessary tools and resources to succeed in their roles, regardless of their prior academic background. These programs cover various aspects of finance, economics, and investment banking, providing employees with a strong foundation in the field.

Having said that, it is necessary for a person to bring a baseline of skills to even be considered for a position as an investment banker. Some of these skills are discussed below.

Strong analytical and quantitative skills

Investment bankers need to be able to analyse financial data and make informed decisions based on their findings. This requires a strong understanding of financial concepts, as well as the ability to use mathematical and statistical techniques to perform complex calculations.

Investment bankers are expected to create financial models that help assess the risks associated with different investments, so if you’re from a risk management background, it can be of help.

Excellent communication and interpersonal skills

Investment bankers must be able to communicate complex financial information in a clear and concise manner, both to clients and to other members of their team. They must also be able to negotiate effectively with clients, stakeholders, and other financial professionals.

Investment bankers are known for their excellent communication skills, as they understand that effective communication is essential for success in their line of work. They employ a range of tools, such as precise language, visual aids, and narrative techniques, to successfully communicate their point. This makes sure that their clients completely grasp the material being delivered and helps to clear up any ambiguities.

They are also great at listening, which helps them comprehend the demands and worries of their customers and respond to them in a way that is both professional and sympathetic. 

Strong attention to detail

Investment bankers are typically responsible for managing complex financial transactions, such as mergers/acquisitions, initial public offerings (IPOs), and debt/equity financing. Hence an Investment banker requires strong attention to detail, as well as the ability to prioritise and organise their work effectively.

Excellent networking skills

Investment bankers must be able to build and maintain relationships with clients, partners, and industry professionals. Along with this, one must have the ability to identify and capitalise on new business opportunities.

Understanding of financial regulations and compliance requirements

Investment bankers must be familiar with the financial regulations and compliance requirements that apply to their work. This includes knowledge of laws and regulations related to securities, investment banking, and financial reporting.

Investment banks are required to comply with Anti-Money Laundering regulations and implement Anti-Money Laundering policies and procedures to prevent illegal activities such as financing terrorism and more. Hence, investment bankers must identify, assess and monitor their clients and transactions to ensure they are not involved in illegal activities and report suspicious transactions to the relevant authorities.

Knowledge of financial software and tools

Investment bankers must be proficient in using financial software and tools for financial modelling, data analysis, and risk assessment. This includes proficiency in using spreadsheet software such as Excel, as well as specialised financial analysis software.

Other tools that investment bankers use include the Bloomberg Terminal, Capital IQ, Thomson Reuters Eikon, Pitchbook, options pricing software, and customer relationship management (CRM) software. The use of these tools is crucial for investment bankers to stay competitive and provide the best advice to their clients.

Strong work ethic

A strong work ethic is essential for success in investment banking. This demanding profession requires individuals to be highly motivated, diligent, and willing to put in the effort required to succeed.

In addition, investment bankers must have the ability to work effectively and efficiently even when under pressure and tight deadlines. This requires a strong focus and determination to get the job done, despite the challenges that may arise.

Good leadership skills

To accomplish organisational objectives, investment bankers must be able to inspire and lead teams. This calls for excellent leadership abilities as well as the capacity to successfully manage people and promote a productive workplace.

Conclusion

A career in investment banking offers a unique opportunity to work at the forefront of the financial industry, helping clients to raise capital and grow their businesses. A non-commerce background can bring a fresh perspective and unique skill set to the table.

If you’re interested in investment banking courses and want to develop the skills and knowledge necessary to succeed or get an investment banking certification, then consider enrolling in Imarticus’s Certified Investment Banking Operations Professional Course.

This is one of the only few banking courses after graduation that provides students with a strong foundation in finance, economics, and investment banking, and covers the key skills that investment bankers need to succeed in their careers.

With a focus on hands-on learning and practical application, the course is designed to help students build the confidence and expertise necessary to succeed in the fast-paced and challenging world of investment banking. So, if you’re ready to take your career to the next level, enrol in Imarticus’s Certified Investment Banking Operations Professional Course today!

Why is the CMO training program important?

The Chief Marketing Officer (CMO) drives the company’s growth and success. They are also responsible for developing and executing effective marketing strategies that create brand awareness, engage customers, and drive revenue. 

chief marketing officer course

To excel in this role, CMOs require a diverse skill set, and enrolling in a CMO training program can help them develop the skills and knowledge necessary to succeed. This blog post will explore CMO training programs’ value and benefits.

What is a Chief Marketing Officer?

The Chief Marketing Officer (CMO) is a senior executive responsible for developing and implementing the company’s marketing strategy. The role of a CMO has evolved significantly in recent years due to the increasing importance of digital marketing and the need for companies to stay competitive in today’s rapidly changing business landscape.

In the modern business world, a CMO’s role involves developing and implementing marketing strategies aligned with the company’s overall goals and objectives. This includes identifying target audiences, developing messaging and branding strategy, and identifying channels and tactics to reach those audiences effectively. 

The CMO must also stay up-to-date with the latest marketing trends, technologies, and techniques and ensure the company stays ahead of the curve. Another critical aspect of a CMO’s role is to manage a company’s brand reputation. 

This involves working closely with different departments to ensure that the company’s value is consistent across all channels and touchpoints and that the company is commented positively by its customers, employees, and other stakeholders.

What are the Advantages of Enrolling in a CMO Training Program?

Enrolling in a CMO or Chief Marketing Officer training program can provide many benefits to marketing professionals passionately looking to advance their careers in this field. 

Here are some key benefits of a CMO training program:

  • Improved Communication Skills: Effective communication is a vital skill for any CMO. This training program helps CMOs develop their knowledge and communication skills, whether verbal or written, and enables them to communicate effectively with their clients and stakeholders. 
  • Personalized Feedback and Self-Evaluation: CMO training programs offer custom feedback and self-evaluation tools and technologies that make CMOs assess strengths and weaknesses. This helps CMOs identify areas for improvement and develop targeted training plans. 
  • Improved Understanding of Change Management: It is critical to be successful and achieve goals in the rapidly changing business world. CMO training programs offer training in change management. It enables CMOs to navigate organizational changes. It makes them able to manage their teams during times of transition effectively. 
  • Deeper Understanding of the Manager Role: CMOs are needed to lead all the cross-functional teams in a company. A CMO training program enhances knowledge and skills to manage teams and clients effectively. These skills include team building, conflict resolution, and performance management. 
  • Improved Decision-Making Skills: CMOs make critical decisions that impact the company’s success. CMO training programs help CMOs develop their decision-making skills by providing training in data analysis, market research, and strategic thinking.

Tips for a Successful CMO Training Program

Consider the following tips to get the most out of the CMO career path to achieve success faster:

  • Set clear goals and objectives for the training program.
  • Participate in the training program by discussing participation, asking questions, and completing assignments.
  • Identify improvement areas and focus on developing those skills.
  • Apply what you get in the training program for your day-to-day work.
  • Seeking support and feedback from your mentors and colleagues.

CMO training programs are essential for CMOs to develop the knowledge and skills required to succeed. These programs offer a range of benefits, including improved communication skills, personalized feedback self-evaluation tools, a deeper understanding of managerial roles, an enhanced version of change management, and improved decision-making skills. Following outlined tips in this blog post, CMOs can get the most out of their training programs and drive growth and success for their companies.

Discover Chief Marketing Officer Online Courses with Imarticus Learning

This cutting-edge CMO training program is not only about Chief Marketing Officers but also for high-potential emerging leaders. The CMO program offers fundamental marketing training skills and knowledge to mid-level and senior-level marketing professionals.

Course Benefits for Learners:

  • IIM marketing courses created in collaboration with Imarticus Learning help students advance vertically more rapidly, launch global business projects, and also helps accomplish organizational goals.
  • This insightful curriculum fosters upcoming business executives’ strategic, operational, and technological leadership abilities.
  • Our knowledgeable educators consider a range of perspectives, and the immersion in the IIM Raipur campus promotes knowledge exchange to produce effective business solutions and worthwhile strategies.

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or connect via our chat support system.

Why is Financial Valuation Important for Companies and Investors?

A company possesses various assets and securities. Valuation is important to evaluate the present market value of an asset. Also when considering the viewpoint of a business, valuation is the method with the help of which a company analyses the hypothetical cost that another entity would pay to acquire the concerned asset. Liabilities can also come under financial valuation. Such valuation is performed to estimate the cost of discharging such liabilities.

Moreover, the term ‘intrinsic value’ talks about the perceived value of a security or an asset that can relent potential future income. Business analysts undertake valuation in order to determine whether a company’s security or an asset is overpriced or underpriced in the current capital markets.

Understanding how to deal with financial services and conduct valuation in the capital markets is not easy. It can be tricky sometimes, but a good advanced management program is all one needs to get a hang of it. Read along to know why it is important for businesses and investors to perform the valuation.

What is Financial Valuation?

Financial valuation is the process of evaluating the present value of a company’s worth, asset or stock in the capital markets. The valuation can be for the investments of the company or the various assets that a business owns. Business analysts who want to look at the prospective future of an organisation or want to ascertain the value of certain assets in the capital markets perform the financial valuation with the help of multiple valuation techniques.

The main motive behind conducting financial valuation is to evaluate the present standing of an asset or prospective investment area and what result it can yield in the future. Valuation in the capital markets is associated with insightful fundamental analysis which seeks to understand the fundamental drivers of a business. This, however, is exclusive of the core meaning of valuation.

Buyers and investors tend to deal a lot in the stock market. A financial services course can help one learn the process of valuation to effectively instil the knowledge of trade in securities and exchange. Such professionals can become an asset to a company for conducting reliable and safe valuations. 

Why Perform Financial Valuation?

Capital Market Course

Valuation is an integral aspect of financial services as it can help to point out assets and securities that are wrongly priced. It also helps to recognise the area of investments that a company should focus on. Some major reasons why a company should perform valuation are stated as under:

Acquisition or disposal of business

Valuation is a great technique to come to a market value of a business when the owner wants to sell it and a buyer wants to acquire it. Mainly, buyers and sellers have differences in the valuation of a company. After discussions and mutual understanding, both parties come to a decision and final price or valuation that will lock the deal of buying and selling the business.

Strategic planning

The importance of strategic planning cannot be overruled. A financial management course can be a guide that can teach one the ideas of strategic planning. It also enables a company to make the right choice in which project to invest in and how to increase the net worth of the company. It creates value for the company and increases its profitability.

Investment financing

Another prime reason for conducting valuation is when a company needs to attract funds from banks or other financial institutions. From the viewpoint of investors, looking at the valuation of a company is important as it will give them an idea about the cash flow, credibility and creditworthiness of the company.

Investing in securities

A mere assumption about the present market value of a security does not reflect reliability. The market value of securities like a stock or a bond keeps on changing and it requires proper valuation at the time of investing. Thus, the determination of the inherent value requires running a valuation.

Increased Knowledge of the organisation’s assets

Proper business valuation assessment is significantly important so that a company can avoid making generalised estimates and assumptions. Specific and meaningful valuation numbers are important for companies so that they can analyse how much to invest in and what areas. It also helps in obtaining appropriate insurance coverage and how to run the operations of the business so that it can yield profits.

Methods of Financial Valuation

There are several methods for valuing an organisation. Some of the major valuation techniques are stated as follows:

  • Market Capitalisation: Market capitalisation is the most straightforward and widely used approach to valuation. It is computed by dividing the share price of the company by the total number of outstanding shares.
  • Times Revenue Method: According to the Times revenue method of valuation, it is calculated by considering a stream of revenue produced within a predetermined period of time. The amount of revenue is then multiplied by a factor that is dependent on the particular sector and the state of the economy.
  • Earnings Multiplier: The earnings multiplier method gives a better and more accurate result when compared to the Times revenue method. It calculates the financial status of the company by looking at the profits and not the sales revenue. This method compares the profits that are projected to cash flow that might be invested for a specific amount of time at the current rate of interest.
  • Discounted Cash Flow Method (DCF): The DCF approach is based on projections and forecasts of future cash flow. it takes the factor of inflation into consideration and modifies the calculation to derive the company’s present market value. 

Conclusion

Financial valuation is a complex process and it can be difficult for a young professional to learn it. However, an advanced management program can become a great helping hand for inculcating insightful knowledge about the techniques and ways of performing financial valuation.

Imarticus Learning offers the IIM Lucknow Capital Markets certification course that can help you to enhance your skills in the related field. This comprehensive course is your one-stop destination for inculcating all the major knowledge and techniques about valuation.

Consequently, if you wish to further your profession in finance or deepen your grasp of capital markets, think about signing up for the Advanced Management Program in Financial Services and Capital Markets by Imarticus.

Explain top 6 types of ethical hacking

Ethical hacking has emerged as an established route for businesses to test the capabilities of their network security systems and understand the level of robustness in the IT infrastructure. An organisation usually either sets up an internal team or outsources the task of ethical hacking to a set of professionals. The key task here is to understand the level of security in the IT infrastructure and identify the possible weaknesses for corrective action.

Ethical hacking is of various types. Each type of ethical hacking has its set of advantages and disadvantages. A business needs to have clarity about the various types of ethical hacking so that we can make the right decision about the future roadmap.

What is ethical hacking?

Ethical hacking is a solution with which a business can test a computer system or network for possible threats and gaps. The role of ethical hacking is to ensure that a business has an IT infrastructure that is not prone to any hacking threats.

As businesses are stuck with the day-to-day operational requirements, they often end up ignoring the role of ethical hacking in maintaining the IT infrastructure. These tests are usually performed by skilled professionals without the intent to take advantage of the gaps. Rather, the intent here is to break into the system to help improve the level of security in the organisation.

Top 6 Types of Ethical Hacking

cybersecurity course

Ethical hacking work requires a combination of skills, techniques, and methods to test the level of security in IT infrastructure. Here are the top 6 types of ethical hacking:

1.       Black box testing

In the case of black box testing, the ethical hacker does not have any prior information about the system and software being used. It is a use-case scenario where the ethical hacker is approaching it from the outside and trying to break in with brute force. Black box testing is known as one of the most practical instances of ethical hacking. As a hacker would try to exploit security loopholes to do damage, a similar scenario is created in this type of testing.

2.       White-box testing

In the case of white box testing, the ethical hacker is aware of the system, its working, possible weakness, and other related detail. It is usually performed in cases where companies want to test how their systems hold up against pressure in real-world scenarios. It helps a business identify how a system performs in a production environment where the actual attackers will try to exploit the possible vulnerabilities. Ethical hackers work closely with IT departments to ensure that they do not break any laws in the process. Code inspection, statement coverage, and data-flow analysis are some examples of white-box testing.

3.       Grey-box testing

Grey-box testing is placed between white and black-box testing. It is a scenario where ethical hackers have some level of information about the system. Professionals use technical knowledge along with deductive reasoning skills to identify possible loopholes in the IT security system and network. Some of the popular grey-box testing examples include security tests, performance tests, and usability tests.

4.       Web application hacking

Web application hacking is mainly used to assess the possible weaknesses and vulnerabilities in web-based applications. These applications are usually written in languages like HTML, Javascript, and CSS. In addition, other languages like PHP and Ruby on Rails can also be used to develop web applications. The nature of these languages is such that specific actions on an application or website can be performed without proper authorization. For instance, cross-site scripting (XSS) can include injecting malicious code into the HTML structure of the website. Web application hacking mainly includes protecting the developed application against such attempts.

5.       Hacking wireless networks

It is a type of ethical hacking where the strength of wireless networks is tested to ensure their safety. Accessing a computer network without proper authorization requires exploiting the weak points in the security system of the network. Wardriving is a common example in the case of hacking wireless networks. It is a type of hacking in which a hacker drives with a laptop or any other device that can catch wireless networks. Poorly protected networks are a key casualty in this type of hacking.

6.       Web server hacking

Any website or software requires a web server on the back end. This type of ethical hacking requires checking the strength of the web server. A server usually includes details of the database like user details, passwords, etc. DoS attacks, port scans, and Sniffing are the usual type of hacking that is used to attack web servers to gain access.

Advanced Certification Program In Cyber Security from IIT Roorkee and Imarticus Learning

IIT Cybersecurity Course covers the topic of ethical hacking along with other modules to provide a deep learning experience in the area of cybersecurity. It is a leading cybersecurity course with placement assistance that follows a live online training method and provides certification by the CEC, IIT Roorkee upon completion. The live training by IIT faculty and campus immersion opportunity from the institute provides a unique learning experience. Click here to know more.

How can I make a successful career by pursuing a Machine Learning and AI course?

Introduction

In recent years, the demand for skilled professionals in the field of Machine Learning (ML) and Artificial Intelligence (AI) has skyrocketed. As a result, pursuing an ML and AI course can offer a path towards a highly rewarding career.

In this article, we will explore how to become a successful AI Engineer and develop a fulfilling career in ML and AI.

Steps to Become a Successful AI Engineer

1. Developing a Strong Foundation

To become a successful AI Engineer, it is essential to have a strong foundation in the principles and concepts of ML and AI. Some of the key skills required include programming, data analysis and knowledge of algorithms and statistical modelling. Pursuing an ML and AI course can provide a structured approach to gaining these skills.

2. Choosing the Right Course

Choosing the right ML and AI course is crucial to gaining the skills and knowledge needed for a successful career in this field. Various online and offline courses are available, ranging from beginner to advanced levels, which provide a comprehensive understanding of the field.

Factors to consider when selecting a course include the reputation of the institution, course content and the availability of hands-on experience opportunities.

To pursue a career in ML and AI, the following skills are required:

Strong programming skills in languages such as Python, R and Java

Knowledge of statistical modelling, probability theory and data analysis

Familiarity with ML libraries and frameworks, such as TensorFlow, PyTorch and Scikit-learn.

3. Hands-on Experience

best artificial intelligence certification course

One of the most crucial aspects of becoming a successful AI engineer is having hands-on experience applying ML and AI techniques to real-world problems. A good ML and AI course will provide ample opportunities for students to practice and apply these skills.

4. Building a Portfolio

Building a portfolio of projects is an excellent way to showcase your skills and expertise to potential employers. Completing real-world projects can also help you gain practical experience and hone your problem-solving skills. Sharing your portfolio online through platforms like GitHub can help you gain visibility and connect with other professionals in the field.

5. Networking and Collaborating

Networking and collaborating with other ML and AI professionals is essential to building a successful career in this field. Connecting with others through online forums, attending industry events and collaborating on projects can help you gain valuable insights and expand your knowledge.

6. Keeping Up With the Latest Trends

Machin learning and AI are rapidly evolving fields. So, it is crucial to stay current with the latest trends and technologies. Regularly reading research papers, attending conferences and participating in online courses can help you stay up to date with the latest developments in the field.

7. Overcoming Challenges

Pursuing a career in ML and AI can be challenging. So, it is essential to be prepared for common obstacles such as a lack of practical experience, difficulty finding job opportunities and managing the steep learning curve. It is essential to stay focused, committed and persist through these challenges.

8. Job Opportunities and Career Paths

A career in ML and AI offers numerous job opportunities in various industries such as healthcare, finance and technology. Some common roles include Data Scientist, ML Engineer and AI Researcher.

In healthcare, predictive models assist with diagnosis and treatment planning, while in finance, algorithms detect and prevent fraud.

In the technology industry, ML and AI are used to automate tasks, improve user experience and develop intelligent systems.

Data Scientists collect and interpret complex data sets, while ML Engineers develop and deploy ML systems.

AI Researchers conduct research and develop new algorithms to improve the capabilities of intelligent systems.

Pursuing an ML and AI course can provide a pathway towards these rewarding and high-paying career paths.

Embracing the Future of Work

Artificial intelligence is a super cool technology that can do amazing things. It can help us solve some of the world’s biggest problems like climate change, food and water shortages and disease.

AI is getting better and smarter every day, and it’s becoming a big deal in the job market. Lots of companies are looking for people with AI and ML skills.

In the next five years, there will be a lot more jobs in AI. AI is already making a big impact

on the healthcare industry by changing the way doctors diagnose and treat illnesses.

Wrapping Up

Pursuing a Machine Learning and Artificial Intelligence course can provide a path towards a successful career in this rapidly evolving field. By developing a strong foundation, gaining hands-on experience, building a portfolio, networking and keeping up with the latest trends, you can become a successful AI engineer and achieve your career goals.

Imarticus Learning provides structured technical proficiency development courses for fresh graduates, young professionals, and individuals seeking to enhance their skills.

Significance of financial modelling courses in 2023

Financial modelling is important for those pursuing finance, accounting, and economics. Financial modelling shows the financial situation of an organisation. These models identify patterns and make suitable predictions. It can predict a company’s future performance to help make investment decisions. It can further reduce any risks involved in investment by identifying any unfavourable financial patterns. But why is financial modelling significant in 2023? Let’s find out.

Why is financial modelling significant in 2023?

In recent years, the global economy has seen many uncertain situations. Moreover, global inflation makes it difficult for companies to devise the right action. Financial modelling can help with this. Here is why financial modelling will be significant in 2023.

Provides accurate and reliable data: In today’s dynamic business environment, businesses need quick and confident decision-making. It gives accurate and reliable data to make the right decisions. It helps all stakeholders to get an overview of the company’s financial performance. Thus, making it easier for businesses to understand their future financial performance.

Simplifies complex data: Simplifying complex financial information is the USP in 2023. Financial models provide a clear and concise way to present complex financial information. Thus, allowing businesses to make informed decisions.

Uses Big Data: The use of big data is a booming trend in financial modelling. Financial models can create reports using large amounts of data, such as financial, economic and social media data. Hence, allowing accurate predictions and improved decision-making.

Has social impact through decision-making: The use of financial models is not limited to businesses alone. Governments and NGOs also use such models to plan their strategies. For example, the models can check the potential impact of a policy change or possible outcomes of a future project.

Types of financial models

There are several types of financial models, including:

Financial forecasting models: Used to project future financial performance based on historical data and trends.

Valuation models: Helps determine the fair or intrinsic value of a financial asset or a company.

Budgeting and planning models: Projects future financial performance and develops budgets and long-term financial plans.

Capital budgeting models: Evaluates investment opportunities and determine the most appropriate use of a company’s capital.

Option pricing models: Helps determine the fair price of options contracts.

Monte Carlo simulation models: Used to model uncertain and random events and their impact on a financial outcome.

Risk management models: Assesses and manages financial risk.

Debt capacity models: Determines a company’s ability to take on additional debt.

Career As Financial Analyst

A career as a financial analyst can be both rewarding and challenging. Financial analysts are responsible for checking financial data. They review the economic trends, market conditions, and the company’s financial statements that help them to make the right investment decisions. They create financial models and use them to predict future performance. Moreover, they estimate investments and point out possible risks for better financial decisions.

Financial modelling techniques

Financial analysts play a crucial role in financial institutions. That is why banks, investment firms and insurance companies offer them high-paying jobs. Some financial analysts also opt to work in government agencies and non-profit organisations.

Creating precise and authentic financial models is crucial for a financial analyst. Hence, professionals need to keep upskilling to stay ahead in the business world. Financial modelling courses give you the right skills to build a career in this industry.

Relevance of Financial Modelling Training and Courses

Financial modelling training courses help you upskill as a financial analyst. These courses give you the right skills to study financial models. The courses cover various topics such as:

financial statement analysis,

forecasting, and

risk management.

All these topics are taught methodically to help you understand everything. Here is how:

Teaches the latest tools: The course makes you well-versed with the latest financial analysis software, thus improving your work. Along with traditional tools and techniques, you also learn new techniques using machine learning, artificial intelligence and other software. Financial modelling courses teach you financial analysis with cutting-edge software to sharpen your skills.

Practical industry knowledge: Applying practical industry knowledge through real-world problems and case studies gives you broad exposure.

Authenticity: A digital marketing course gives you an edge among your peers in a competitive job market. It adds credibility to your CV, showcasing your work experience and the projects you pursued during the duration of the course. Digital marketing certification makes it easy for recruiters to shortlist your CV and offer you a job.

What do you get with our financial analysis course?

KPMG endorsed curriculum

Career and placement support

Job-specific skills

Robust and interactive live training modules

Experiential learning with real-world projects and case studies

Visit Imarticus Learning to find out more about our financial analysis course today!

Why is Budgeting Important for Any Successful Business?

Budgeting is the process where an owner or a manager of a business makes a financial document of their income and expenditure within a period of time. This includes several factors like the costs towards a product or service, the revenue it’s bringing, and more.

chief financial officers course

A student wishing to become a strategic CFO needs to understand the importance of budgeting. Budgeting helps set and achieve business goals, figure out the most profitable products and services of the business, attract investors and pay off debts or taxes.

What is budgeting?
Budgeting in a business is the process of preparing and following a financial document that is made considering a company’s income and expenditure for a specific period of time.

For example, a budget with the projected income or expenses for the period of a month, three months, or a year. Usually, the expenses of a company are always kept at a lesser amount. When this amount is subtracted from the income, the leftover money is then allocated to various initiatives and projects. This is done to oversee that the company is not overspending and losing money.

There are a few different types of budgeting –

Activity-based Budgeting is when the goal of the company is first determined. Then the process is reversed to ascertain the costs and how they can be reduced from last year and how it can be allocated for the next.

Incremental budgeting is when the last year’s budget is taken into account to create the next year’s budget. Here, a percentage is calculated factoring in market growth, inflation, and more which is then subtracted or added.
Value proposition budgeting is when every cost to the business is re-evaluated and unnecessary ones are then eliminated from the next year’s budget.

Performance-based budgeting is when each product or service is evaluated and the money is allocated to the ones that are beneficial for the business and taken away from the ones that are not.

Zero-based budgeting is when the value of all items included in the budget is set to zero and given new numbers after re-evaluating everything from the previous year.

How to do budgeting?

There are a few methods to do budgeting, but there are usually managers use a few uniform things for the budgeting process. The things that are always included in the budget are –

The revenue generated by the business in the previous year
Fixed costs to the business, like rent, loans, insurance, salaries, and more
Flexible costs to the business, like transportation, changing costs of products and services, raw materials for manufacturing, and more
Profit generated by the business in the previous year by subtracting costs from the revenue

The steps to make a budget are –

Calculate the revenue of the business by adding money coming from sales, investments, and others
Calculate the revenue of the business by adding money that has been spent to keep the business running
Tally the revenues and costs by subtracting one from the other to figure out how much profit or loss the business has suffered and tally the results to the accuracy with the previous year’s budget
Once all the calculations are done, it’s important to track if the goals are being met, the costs are not going beyond the limit, or whether more revenue is coming in

Why is budgeting important?

The most important thing that businesses get from budgeting is the financial situation of a business. This helps in planning for short-term and long-term expenses, setting goals, and more. Some of the benefits that make budgeting important for businesses are –

Setting and meeting financial goals

Every business needs to have a financial goal that can move the business forward. Creating a budget helps the manager understand what goals for the business will be achievable. It also helps businesses understand what revenues they should be generating or what costs should be allocated to achieve their goals.

Ensuring resources are available at all times

Budgeting dictates which projects, products, or services need what amount of resources. The previous year’s budget can tell which product or service worked and which ones didn’t. For example, in such a case, businesses can decide whether to stop selling a particular product or service. They can also decide if a product or service is worth upgradation.

Prioritising projects and taking decisions accordingly

While budgeting, the manager looks at the various projects run by the business and prioritises the ones with the most value. They consider the return that particular project is bringing to the business, the brand value and customer satisfaction the project’s bringing, and how much it’s costing the business to run. The projects that seem to have a positive impact on the business considering all these factors are then prioritised.

Attracting investors

In terms of small businesses or startups, it’s possible that the owner is looking for investors or outside funds. In that case, it’s important to keep the budget for previous, present, and future years in hand. Investors like to see that the business they are putting their money in has every penny accounted for. It also helps explain to them the financial goals of the business and how much they can help with.

Easily paying debts and taxes

Most small to large businesses have debts or loans. Businesses also have several taxes they need to pay. A budget includes debt payoff, employees’ income taxes, sales tax, raw material purchase tax, and more. Budgeting keeps everything on a tight calculation which helps in the easy payout of debts, loans, and taxes every week, month, or year.

Conclusion

Budgeting is done by every business nowadays whether they are small or big. That is why learning more methodically about this critical process is important and is done here at Imarticus. Our Certificate Programme for Emerging CFOs will give you the perfect knowledge. Our partnership with IIM Indore has only been giving the students that extra edge in their degrees. Check out our programs now and become a part of a brighter future.

Budgeting is the process where an owner or a manager of a business makes a financial document of their income and expenditure within a period of time. This includes several factors like the costs towards a product or service, the revenue it’s bringing, and more.

A student wishing to become a strategic CFO needs to understand the importance of budgeting. Budgeting helps set and achieve business goals, figure out the most profitable products and services of the business, attract investors and pay off debts or taxes.

Why are Blockchain Technologies Important in the Fintech Domain?

The world of finance and technology (fintech) has been revolutionised in recent years by the advent of blockchain technology.

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Blockchain is a decentralised, secure, and transparent ledger that records transactions across a network of computers. The technology was originally designed to support cryptocurrencies, but its applications have since expanded to include a wide range of financial services.

Let’s talk about how blockchain technology is not only important but also advantageous to the Fintech domain.

Security
One of the most significant advantages of blockchain technology is its security. Blockchain uses cryptography to ensure that transactions are secure and tamper-proof.

Once a transaction is recorded on the blockchain, it cannot be altered, and all participants in the network have access to the same information. This eliminates the risk of fraud and provides a high level of trust between parties involved in a transaction.

Transparency
Every transaction is listed on a public ledger where anybody can view the specifics, improving financial transparency, lowering the possibility of fraud, and making it simpler to follow the flow of money.

As blockchain is decentralised, there is no single point of failure, increasing its resistance to assaults and guaranteeing that the network will continue to function even if some nodes fail.

Efficiency
Another advantage of blockchain technology is its efficiency. Transactions are nearly instantaneously completed, and the decentralised network, powered by cloud computing technology, eliminates the need for intermediaries like banks.

This lowers transaction costs and makes it simpler for consumers to obtain financial services, especially in locations where traditional financial institutions are lacking. Blockchain-based financial services can also help to increase financial inclusion and provide people with greater access to capital.

Decentralisation
Blockchain technology is assisting in the development of new financial goods and services in addition to enhancing security, transparency, and efficiency. Stablecoins are cryptocurrencies that are tied to a stable asset, such as the US dollar, to provide stability in choppy markets.

Decentralised exchanges (DEXs) allow anyone to trade cryptocurrencies without the need for a central authority. More financial innovation and competition are being encouraged by these developments, which are poised to benefit consumers.

Reduced Counterparty Risk
Counterparty risk is a serious worry in the financial services business since it entails the danger of one party failing to fulfil its commitments in a transaction. Blockchain technology reduces this risk by providing a decentralised and transparent ledger of all transactions, making it harder for any single player to engage in fraudulent activity.

By doing away with middlemen in the transaction process, blockchain technology allows financial institutions to operate more cheaply. Customers pay reduced costs as a consequence, and financial institutions may make more money. By minimising operating expenses, blockchain’s decentralised network does away with the requirement for reconciliation and definitely minimises the amount of manual labour needed to verify transactions.

Smart Contracts
A smart contract is a self-executing contract with the terms of the agreement directly written into lines of code. The code and the agreements contained therein exist on the blockchain, and the contract is automatically executed when the predetermined conditions(according to the contract) are met.

In the context of the fintech industry, smart contracts are particularly useful for facilitating secure and efficient financial transactions, such as the exchange of assets or the management of derivatives. Smart contracts can also be used to automate the execution of financial contracts, such as insurance policies, and provide real-time tracking of financial assets/obligations.

Increased Data Privacy
The financial services industry handles large amounts of sensitive information, including personal and financial data. Blockchain technology offers increased data privacy as it allows for secure and encrypted storage of this information. Transactions on the blockchain network are transparent, but the identity of the participants can be kept private, reducing the risk of data breaches and protecting consumers’ privacy.

Cross-Border Transactions
Cross-border transactions can be slow and expensive while being subjected to significant regulatory hurdles. Blockchain technology has the potential to streamline these transactions, reducing the time and cost involved, and improving the overall efficiency of cross-border transactions.

From navigating complex regulations to dealing with slow and unreliable payment systems, it’s no wonder why so many people are frustrated with the current state of cross-border transactions. That’s why the promise of blockchain technology is so exciting. By using a decentralised network that is secure, transparent, and efficient, blockchain has the potential to revolutionise the way we move money across borders.

Conclusion
Although the financial sector’s use of blockchain technology is still in its infancy. It has already begun to change the way we conduct business. More productivity, less fraudulent risk, and increased financial transparency are all significant industrial goals that are being helped by cloud computing. In addition, blockchain technology is also making it possible to develop new financial services and products, which support Fintech innovation.

Blockchain technology is a significant and disruptive factor in the financial technology sector. Its decentralised, secure, and transparent nature is revolutionising business. Its potential uses, not only pertaining to the Fintech industry but others as well, are limitless. As technology advances, we can anticipate even more interesting breakthroughs that will deliver new and enhanced financial services to consumers all around the world.

If you’re looking to advance your career in financial technology, the Professional Certificate in Fintech course by SP Jain School of Global Management with Imarticus is the perfect opportunity for you. With the rapid growth of blockchain technology, the fintech industry is poised for even more exciting developments in the future. Don’t miss out on this chance to gain a competitive edge in the job market with a fintech certification course.

Enrol now and discover the potential of blockchain technology, and how it is transforming the way we do business. With the Professional Certificate in Fintech, you’ll be able to start your journey towards a successful career in financial technology today!

What does media buying mean and strategy used in media buying

Building a successful marketing campaign requires more effort than just creating a catchy tagline or creative and placing it in front of consumers. A business needs to look at various marketing components for campaigns that can drive business growth and achieve a better return on investment. Media buying is one such important piece of this puzzle.

What is media buying?

Media buying is buying relevant media at a suitable date and time to maximise visibility and reduce costs for a business. The key objective for any media buying exercise is to identify the right channels and ensure visibility for a business on those channels. The media buying exercise aims to increase the visibility of a business at the best rates possible.

Media buying is relevant in traditional advertising mediums like TV, radio, print, and digital advertising mediums like websites, social media, and such digital mediums. Media buying helps ensure maximum exposure for a brand among target consumers for the least amount of spend.

What is the difference between media buying and media planning?

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Media buying and media planning are two terms that are often used interchangeably in the industry. Although both are parts of the marketing function, they achieve different objectives for a business. Media planning is the step that comes before media buying.

Media planning sets the ground rules for the brand and the proposed campaigns. Media planning selects the type of messaging, type of advertising mediums, and target audience. Based on the information provided in the media planning exercise, the media buying team selects the platforms along with time and cost.

Effective Strategies Used in Media Buying

Media buying is a complex process that usually involves considerable money. As a result, it is essential to be aware of the effective strategies that media buyers use for success. Here are the effective methods used in media buying:

Select the best deal

One of the most common media buying strategies is to target the best deal. As media buyers have strong relationships with various media platforms, they focus on extracting maximum value for the investment. Experienced media buyers are skilled in ensuring the best deal for the business. In other words, the business can get maximum exposure in return for the money invested in the campaigns.

Select the best slots

Media buyers also understand the importance of getting the best slots in the advertising mix. The best slots are usually the ones that can generate the best returns or engagement for a business. As a result, media buyers check the trends and significant events like global sporting events or political campaigns that can impact ad availability. With a proper understanding of these events, media buyers negotiate the best slots in advance for maximum exposure.

Define best practices

Media buyers have a deep understanding of what works among various consumer sets. As a result, media buyers can rely on experience and knowledge of best practices to achieve better outcomes for the business. By opting to set globally competitive campaigns, a business can achieve better results than other campaigns in the market.

Key Considerations in Media Buying

Media buying is a specialised profession that requires some critical considerations. Some essential aspects considered are based on the buying structure to follow. For instance, in the case of supply-side platforms, suppliers are key players responsible for selling the ad inventory. Popular media publishers are an example of such platforms.

Similarly, in the case of demand-side platforms, buyers are expected to set up campaigns, place bids on the available ad inventory, and optimise ad spend. Platforms like Google and Facebook are good examples of demand-side platforms.

An ad exchange is a marketplace where advertisers and media platforms engage in real-time bidding to buy or sell ad space. Platforms like Google and Facebook are typical buys in this type of media buying.

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With the increasing importance of digital websites and platforms, media buying in the digital world has become complex. Clarifying the various concepts, routes, and platforms businesses can leverage for effective media buying is essential.

The Digital Marketing Certification Course from Imarticus Learning can help graduates with 0-2 years of experience and people interested in digital marketing programs learn essential aspects of media buying. The Digital Marketing Online Training includes modules like media buying and other facets of digital marketing.

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