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Day: December 1, 2022

IIT Roorkee does it again. This time it’s a data science and machine learning course

Posted on by Imarticus Learning

IIT Roorkee has announced a new Data Science and Machine Learning Certificate Program. This program aims to provide students with hands-on training in data science, machine learning techniques, and domain-specific applications using Python.

The increasing importance of Data Science And Machine Learning

Data science is a hot topic in the industry and has increased over the past few years. Data Science is a method for extracting only significant insights from a vast amount of data by combining statistics, scientific principles, and algorithms. It is an interdisciplinary field with a solid foundation in business, computer science, statistics, and mathematics.

Machine learning aids in developing new products and provides businesses with a view of trends in consumer behavior and operational business patterns. In many of today’s top companies, including Facebook, Google, and Uber, a considerable portion of the operations revolve around machine learning.

Data scientists use their skills to solve problems with data and make predictions about how people will behave through this information. They build models that can tell them what will happen next (like predicting gun violence), or they build tools that allow you to quickly analyze large amounts of data (like Google Analytics).

Data scientist positions are available across many industries because they require expertise in different areas — including software engineering, machine learning algorithms design & implementation, mathematics & statistics education research methodology. 

IIT Roorkee Launches A New Programme In Data Science And Machine Learning

Data science and machine learning are two sides of the same coin. They are both a subset of computer science but have different focuses. Data scientists use algorithms to analyze large amounts of data, while machine learning experts develop algorithms that automatically learn from previous experiences and make predictions based on those experiences. 

In this course, students will learn how to build machine learning models using Python programming language (the most popular language for data scientists). 

The iHUB DivyaSampark at IIT-Roorkee and Imarticus Learning have jointly launched a certificate program in data science and machine learning (ML). After passing the course, students can consider careers as data analysts, managers, data scientists, business analysts, business intelligence specialists, and consultants in data analytics. 

Additionally, iHUB DivyaSampark will provide a platform for Data Science and Machine Learning enthusiasts and students to present their start-up concepts and request financial support. The course concludes with a campus immersion module.

Explore A career in Data Science with Imarticus Learning.

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With the help of this certificate program in data science and machine learning, students can launch their data science careers. Through this data science online training, students will learn the fundamentals of data science and machine learning as well as the skills and knowledge necessary to apply these ideas in the real world.

Course Benefits For Learners:

  • This five-month program, designed by IIT faculty members, will teach students how to use Python to understand data mining and machine learning methodologies.
  • Leading academics from India will instruct this online data science certification course.
  • Our IIT data science certification course will help students build a strong foundation in data science and Machine Learning.

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

10 Ways to Make Your Corporate Training Programs More Effective

Posted on by Imarticus Learning

10 Ways to Make Your Corporate Training Programs More Effective

Corporate learning and development programs are powerful forces that drive better management and results of operations. In a survey done by TalentLMS Remote Work Survey, 66% of the 1,000 respondents reported that they got some form of a corporate training program in 2020.

Building proper corporate training programs requires a lot of energy, time, and effort. There is no perfect way to do it, but there are a few aspects to focus on while planning a leadership development program.

10 Ways to Plan a Successful Corporate Training Program

  1. Having a Focused Goal

It is crucial to decide the goal of a training program before planning it in detail. A clear goal for the training program makes it easier to understand what the company wants to achieve. The program should be planned around this goal.

  1. Keeping the Design Flexible

Any corporate training program is bound to fail if it is not flexible. Managers must ensure that the design suits what the employees want from the program. Also, not all employees would want the same thing; thus, the program design must address several needs. Making a flexible training program ensures that people of various talents can work and learn together.

  1. Taking Small Steps

One must be careful while creating corporate learning and development programs with limited resources for the company. The best way around a modest budget is that companies can create small pilot programs. These can also help them understand the choices and demands of the company and employees better.

  1. Managing Time

Most programs fail because of time-related conflicts between employees and the company. It is best to lighten their workload before presenting the employees with training programs. This ensures that they are not overburdened.

  1. Providing Leadership Support

Support from team leaders is crucial for the effectiveness of corporate training programs. Often, leaders and employees disagree about the duties and time of leadership programs.

Good leadership enables active participation in the program. Companies can also design the right leadership training programs to provide good leadership support.

  1. Encouraging Employee Participation

The output of corporate learning and development programs depends on the active participation of the employees. The trainer must help the employees come out of their shells and inspire them to learn actively from the program.

  1. Using Modern Technology

A corporate training program must include training in the technology related to it. A lack of such technological knowledge can lead to useless learning. In turn, this frustrates the employees and makes the program ineffective.

  1. Choosing the Right Trainer

Companies need to focus on hiring the right trainer. Just designing training programs will not make them effective. It is the creative and keen trainer who can bring out the best in employees. They should be able to teach and motivate employees.

  1. Merging Training and Organisation Goals

The goals of the corporate leadership and development programs and the organisation must match to get the best results out of the program.

  1. Conducting Evaluation

It is important that along with the training, the employees are monitored during and after the program. Even though it is easier to track the overall company progress, leaders should make it a point to track individual progress.

Many other aspects play into the success of corporate leadership and development programs, but it mostly depends on the goal and tools of the organisation. It is important to focus on employee learning and output and resource use while creating training programs.

Imarticus Learning provides industry experts that help to bridge the gap between employee talents and required skills. It understands that interactive learning is a mix of offline and online learning. So, Imarticus customises programs according to company requirements and plans creative curricula for all corporate training program needs.

Learn the Financial Analysis of a Company: Understand the Balance Sheet and Income Statement

Posted on by Imarticus Learning

Learn the Financial Analysis of a Company: Understand the Balance Sheet and Income Statement

What is the financial analysis of a company? It is the process of assessing a company’s performance in an industrial and capital market environment. With the help of the financial performance data, it is easy to see whether a company is experiencing profit or loss. The information that is yielded by the financial analysis helps shareholders to understand whether the firm is worth investing in or not.

In other words, it tells about how much liquid capital a business possesses. It also reflects its solvency or capability to stay afloat in difficult times. It also tells about the financial flexibility of the organisation and how much money it can circulate in the market. In a nutshell, it is imperative to learn financial analysis. 

For financially analysing the performance of an organisation, there are different markers. These indicators are financial statements that are computed keeping several factors in mind. The statements are as follows:

  • The balance sheet 
  • The income statement
  • The profit and loss statement
  • The operational revenue generation
  • Cash flow statement
  • Financial ratio analysis 

How do balance sheets and income statements help to learn financial analysis?

To decide for a company, you need to analyse the financial statements of a company. These financial statements include the balance sheet, and income and cash flow reports. 

The balance sheet reflects the company’s assets, the liabilities it has to fulfil and the shareholders’ equity. This helps to understand the company’s financial worth in terms of the book value. The income statement tells what the company earns and spends. An increase in revenue or gains could increase the stockholders’ equity. This helps in the computation of ratios which help assess when a company will be profitable, both in the short and long term. This information helps a company to know whether it is incurring a profit or a loss. It is also helpful to investors for the same reason. In a financial modelling course, you are taught the intricacies of financial statements like the balance sheet and the income statement. 

What are the different types of financial statement analysis?

Analysts frequently utilise three methods for analysing the financial statements of a company.

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The first technique of analysing a financial statement is the horizontal analysis method. In this technique, a financial analyst compares the historical company data for the previous financial or accounting years. Usually, the horizontal analysis method aims to determine at what rate a company is growing for specific periods.

The second method of analysis is the vertical analysis technique which performs a comparative study of items on a financial statement in connection with each other. For example, an analyst could express an expense item as a company sales percentage.

The third technique of analysis of financial statements is called ratio analysis and it is also a core concept of fundamental equity analysis where you compare the line-item data. There are several examples of ratio analysis like earning per share, price-to-earnings ratio, and dividend yield.

What else does an income statement supply?

The statement of income, or the income statement, gives out data about the net financial results of a company’s business activities. These financial results are calculated according to a particular time. This report or the income statement also shows the revenue the company has accrued over time.

It also shows the expenses and losses the company has incurred over a specific time period. This period is generally 12 months or a particular financial year. The basic equation of the income statement is net income = revenue + other sources of income – expenses.

What other information can you get from a balance sheet?

The balance sheet is an important financial report. It helps to disclose various types of information. It tells what resources or assets the company controls. Moreover, it shows the company’s liabilities or how much it owes to creditors at the time of its calculation. The owners’ equity is a portion of the net assets that the company also owns. Therefore, owners have a residual claim on the assets of the company after the subtraction of its liabilities. The relationship amongst the liabilities, assets and equity of the owners is what makes up the balance sheet. It can be derived from the equation: assets = liabilities + equity of the owners.

Hopefully, this write-up has explained how income statements and balance sheets help to understand the finances of a company. If you are planning to enter this field of assessing a company’s books and helping others understand its actual situation, then completing financial analyst training is the ideal way to go about the business.

In this regard, you can take the assistance of the Pro-degree in Financial Analysis from KPMG that Imarticus Learning offers. 

How To Learn Python Online and Set Up a Local Programming Environment

Posted on by Imarticus Learning

How To Learn Python Online and Set Up a Local Programming Environment

Python is one of the best programming languages that you will come across in the world. It is not as cumbersome as Java, but it is not very easy either. However, there is one thing for sure, learning Python can be highly advantageous for your career. Once you learn Python online, you can build programmes and automate several of your daily tasks.

Also, knowing the intricacies of programming could open up new opportunities for you. With this training, you could opt for opportunities in data science, data analytics, machine learning, and artificial intelligence domains. All in all, Python can offer you a chance to do whatever you want to.

How to set up a local programming environment for Python?

If you are using this programming language every day, then it is essential to set up your Python local development environment correctly.

You need to configure Python environments on your local servers (personal computers). For that, you need to choose one environment that everyone else uses to work on a project. Otherwise, you might be unable to compile and execute the Python programs you have built. Unless everybody does not have the same environment, they cannot collaborate and build a project together. If these steps are not precisely followed, then there might be a discrepancy in the collaborative work. Then there will be difficulty in switching between working on multiple projects seamlessly.

Below are the steps you need to follow while installing the local programming environment.

  1. Download the Python version you want from https://python.org. After visiting the Python homepage, click on the type of installer you want, 32-bit or 64-bit. 
  2. After that, you need to run the .exe file of the installer. Within a few minutes, Python and the Python environment will be installed on your local server. 
  3. Up next, you need to start the command prompt and check whether Python has been installed or not. The path where the files have been downloaded will be shown in the installer. 
  4. To set up the local environment, you need to tinker around and download PyPI. Notably, PyPI is also called Python Package Index. This package index helps the programmer to utilise multiple options in choosing open-source Python packages. 
  5. Now you will need to learn the way to manage your local development environment when working on individual, team, and commercial projects. For that, you will need to use pip or the Python Package Installer. Pip will help you in managing your Python packages that are inside virtual environments. 
  6. Finally, the last step is that you need to download an IDE (integrated development environment), where you can build a program in Python and run the code. So, you can learn how to use an IDE before you go ahead and download it. You can use simple IDEs like Notepad and Notepad++ for Python. But, we would recommend you use something like PyCharm, which is quite advantageous as it helps to point out the bugs in your code and is, therefore, a big aid in improving your workflow. But, it has a slow execution speed. All the coders and programmers use Visual Studio Code, which can be used to program in C++, Java, JavaScript and Python. It has all the features of an advanced IDE and helps set up the Python environment easily. You can also work efficiently in this IDE and use keyboard controls for various functions.

These were some of the steps that will come in handy while setting up a local programming environment. Now, we will head over to the next step, where we will see where and how to learn Python online.

How to learn Python online?

Learning Python online is not difficult these days as there are multiple online resources where you can teach yourself Python in the easiest way possible. You can use tutorial websites to teach yourself Python. Or, you could also take up various video courses that are available on online coaching websites.

But, it would be better if you learn from somebody who is from the industry. Faculty who are already trained in teaching understand the right pedagogy to teach programming and the junctions to test the person, which will help to solidify the concepts. Therefore, Imarticus Learning’s PG in Data Analytics is worth consideration because it teaches about all the complex topics in the easiest way possible and builds a good foundation for Python. This post-graduate program in data analytics and machine learning shapes you for professional life with live projects and industry experience.

Hopefully, you have got an idea of the process of learning Python online and which analytics and machine learning course can help you in this process. So, enrol for a course of choice and start setting up your local programming environment to practise and excel at this subject.  

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The Competitive Investment Banking Market: Addressing The Skill Gap.

Posted on by Imarticus Learning

The competitive investment banking market: Addressing the skill gap.

The investment banking domain has been growing extensively but there is a lack of skilled professionals in the industry. The most prominent banks such as the Bank of United States, UK Bank and South African banks have pointed out certain skill gaps that need to be addressed for maintaining a competitive investment banking market. An investment banker career is a very flourishing one if you have the right set of skills and qualifications.

As the hiring process continues in the sector of investment banking, many such recruits lack the effective skill set that is required for accelerated digitalisation and technological development. A proper investment banking course with placement will give you all the insights that are required to bridge the skill gap in this particular sector.

What is Investment Banking?

Investment banking is a form of banking that carries out large, formal and organisational banking transactions. The main focus of the discipline is to raise money for the government, large organisations and institutions. The functions of investment banking revolve around underwriting equity securities and new debts for multiple corporations. Facilitation of acquisitions merges and trading for private investors are also carried out by investment bankers. Multiple financial aspects are involved that are concerned with large projects.

Addressing the Skill Gap

The investment banking sector has focused on mainly the following areas of concern to upskill the investment banking professionals:

Cyber security

Cybercrime is one of the biggest threats to the banking sector. So companies are wanting to hire professionals who are more qualified and skilled in the domain of cyber security. It will help the companies to better protect the data networks and important information from security threats. Skilled banking professionals in the investment sector will mitigate threats and eliminate the risks regarding cyber crimes. Learning data protection, fintech programs, Artificial Intelligence and risk management can help you learn the best skills regarding cyber security.

Data analysis

Data Analytics is a very important skill that a banking professional should have. a deals with the understanding of all the tools, techniques and equipment required for collecting and analysing data in order to conclude. Data analysis proves that banks have the capability of providing quality solutions to persisting issues. Game up your Data Analytics skills for making accurate forecasts, creating growth opportunities, managing risks, remaining up to date with recent AI skills and improving customer experience.

Resilience

Resilience is very important when the work depends upon tight deadlines and the professional has to work under high pressure. You need to complete the task within the deadlines without losing your composure. In recent times that has been seen in the unique fruits that they lack resilience and get confused in high-pressure situations. It can be said that they have to gain more composer and insight for dealing with tight deadlines and crisis situations

Digital literacy

Keeping up with digital transformation has become a challenging factor in every industry. However, it is an integral part of the banking sector and there is no scope of lagging behind. The growing organisations and employees have to keep up with the digital world and its changing technologies. Digital literacy, thus, is a skill that you must possess if you want to make it big in the investment banking sector. Learning effective communication, sharing ideas virtually, thinking of innovative steps and digital team management are all part of the digital literacy skill.

Quick response and work readiness

In this fast-moving technological world, quick responses and actions are very important skills that cannot be overlooked. Whenever a problem arises or a crisis situation appears, you have to be quick in taking action to solve the crisis. This particular skill establishes work readiness and the banking sector is more focused on gaining fundamental powers. You can bridge the skill gap by becoming an effective investment banking professional by learning key skills such as operations management, business development, coaching for performance and business management.

Courses to Bridge the Skill Gap

To start your investment banker career, you need to first check the qualifications and degrees that you should have to get a position in your professional field. Any bachelor’s degree in Banking, Finance, Accounting or a relevant field is encouraged.

Apart from a bachelor’s degree, other investment banking courses after graduation that you can enrol yourself for to have a better career opportunity are as follows:

  • Certificate courses in investment banking.
  • Online courses in Banking and Finance.
  • Diploma in investment banking.
  • Masters in Banking and Finance.
  • Masters in Accounting.
  • Postgraduate courses in investment banking.

Conclusion

Investment banking is a prosperous field that can make you a big-shot professional in the digital era. If you want to make it big in the banking sector, becoming an investment banker can be your way of achieving success. Register yourself for the Certified Investment Banking Operations Professional by Imarticus and learn all the essential skills to become a competitive investment banking professional.