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Day: May 16, 2022

Here’s Why Data Science Courses Are Gaining Momentum In 2022

Posted on by Imarticus Learning

Here’s Why Data Science Courses Are Gaining Momentum In 2022

As we progress through the year, we can see that the job of data scientists has become a new most significant trend throughout the world, and data-driven decision-making is becoming more popular. No matter how small or large, every firm strives for qualified and skilled personnel who can grasp and effectively analyze data, making it the hottest profession and most desired vocation in any industry.

Data are essential for digital agencies since the ultimate goal is to extract brilliant and relevant insights from data to help companies use the power of data. This blog post will explain data science and give you some reasons why the data science course is gaining momentum in 2022.

What is Data Science, and how does it work?

Data is like the raw diamond in today’s technology-driven society, and Data Science is the mining infrastructure setup that makes the data valuable for reshaping the world. Self-regulating systems are impossible to construct without a massive amount of data. So, in 2022, Data Science would entail analyzing vast volumes of data for Business Analytics.

Data Science is a broad study of data acquired by diverse businesses for various commercial goals. It entails using numerous data analysis techniques to analyze data via the Internet.

Here are some reasons why data science courses are gaining momentum in 2022.

In healthcare, data science is critical for keeping track of patients’ health and assisting doctors in understanding illness trends and preventing sickness. Data Engineers are needed in the healthcare business to aid in developing automated systems for the analysis of complex data in clinical applications. 

The data mining engineer evaluates not just their own company’s data but also data obtained from external sources. A data mining engineer will design complex algorithms to help further examine the data and analyze it. 

Data scientists start by converting a business case into an analytics agenda, formulating hypotheses, comprehending data, and investigating trends to see how they affect organizations. They also research and select algorithms to aid in data analysis. 

Data scientists may utilize business analytics to explain how data will involve a company and help create solutions to assist the organization deal with these consequences in the future.

Software development is the most prevalent use of Data Science. Industries use Data Science and Machine Learning to create automated software development solutions. As a result, this business has a high demand for Data Science applicants. Customer data gets used by the e-commerce business to improve customer service and deliver a better user experience. 

Discover a data science career with Imarticus Learning

This certificate program in data science and machine learning helps students get started in data science and machine learning. This curriculum, created in collaboration with iHUB DivyaSampark @IIT Roorkee, will teach students the principles and elements of data science and machine learning and arm them with the necessary skills to apply these ideas to real-world issues. 

Course Benefits For Learners:

  • This 5-month curriculum, created by renowned IIT faculty members, will teach students how to utilize Python to understand data mining and machine learning techniques.
  • Learners will be able to acquire a strong foundation in data science and specialize in machine learning using Python for data-driven decision-making with this data science curriculum. 
  • The data science online training will be live via online sessions with India’s best teachers.

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

Understanding deep learning and convolutional neural networks

Posted on by Imarticus Learning

Understanding deep learning and convolutional neural networks

Deep learning, a subfield of Machine Learning, is here to rule the roost. The problem, however, is that there are only a few Python programs that build your skills in tandem with your final goals. Those that do train you to enhance the understanding of convolutional neural networks in Artificial Intelligence and Machine Learning. 

There is one such certification that might catch your eye at Imarticus. Experts from IIT Guwahati build your future Data Science career by designing our A-grade Certification in Artificial Intelligence and Machine Learning. You can become a Machine Learning Engineer or a Data Scientist with this industry-approved Python Programming course. 

Why pick this course?

The certification has an excellent E&ICT Academy, IIT Guwahati, and Imarticus Learning-designed curriculum that is suitable for your career aspirations. The Python course will give you an edge over other tech and deep learning graduates who aspire to build sustainable futures. 

The entire curriculum is accessible online, but the mode of learning is hybrid because of real-world projects incorporated within the design. 

After you have aced the certification while learning at your own pace, you can join other professionals working at some of the best consultancies and tech companies today. During the 9-month certification course, you can also make the most of an excellent mentorship program. 

The course’s real-world projects will take you a long way in understanding deep learning and convolutional neural networks. They will also help you understand your job profile once you have integrated it into the everyday culture of your future workplace. Skill alignment with the company’s values bolsters the vision of Artificial Intelligence-led futures. 

Course features

It would be useful to remember a few salient features of the certification before signing up. Orienting yourself to benefit as much as possible from the curriculum and faculty is essential for a top-notch certification. 

  • The program aligns itself with your job prospects naturally. You participate in 25 hands-on projects and live sessions during the course. 
  • If you need to transfer your credits to a longer time frame, maybe even the next batch of students, there is an option to do so with a flexible learning system. 
  • Renowned industry leaders and a top-grade faculty will polish your skill sets in no time for you to reach your acme at any job. 
  • Improve your curriculum vitae with the recognition and value of this certificate course, designed by IIT-Guwahati, Imarticus, and E&ICT Academy. 

It is easy to see why all these features help you choose the right program for your career in Artificial Intelligence and Machine Learning. The meticulously designed curriculum and faculty enhance your raw talent swiftly and easily. They give you cutting-edge performance capacity in your future job. 

Your hard work and determination can seal those prospects that you choose to maximize through the hands-on training and live sessions. 

In closing

Python Programming is one of the basic coding languages that are useful for the foundation of your certification in Artificial Intelligence and Machine Learning with Imarticus. A Python course can help you build a foundation in your chosen field of work and contribute to a technology-driven, sustainable future. 

Understanding deep learning and convolutional neural networks is made possible through certification in Artificial Intelligence and Machine Learning. These salient aspects of the ‘future of humankind’ must be understood to build and sustain an equitable and harmonious future. 

Artificial Intelligence can open up these possibilities now rather than in some distant future. Understand Artificial Intelligence to build a sustainable outlook in the world of global trade and commerce with this certification today. 

Connect with us through live chat support on Imarticus Learning. Our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon are just a drive away. Come join us in learning about technology and the future.

Not Knowing Risk Management Can Be Risky

Posted on by Imarticus Learning

Not Knowing Risk Management Can Be Risky

Investment decisions are like a two-sided coin. If one side of investment is in return, the other is a risk. Uncertainty or risk is present in all investment decisions. An investor takes all investment/portfolio decisions based on his risk-return profile. If you are a conservative investor, you will buy investment assets with low volatility or potential loss probability. If you are an aggressive investor, you will purchase investment assets that have the potential to earn higher returns but are also accompanied by a higher proportion of losses. If you wish to pursue a career in corporate banking or investment banking, taking risk management courses is essential.

Definition of Risk and how risk is measured 

When you do risk analysis, you identify, analyze, and accept uncertainty to mitigate them. As mentioned before, risk includes both upside deviations and downside deviations.

Measuring Risk

Risk measurement varies according to the type of financial investment. Here, we analyze the risk associated with stocks, fixed income securities, investing in foreign exchange denominated instruments, and risk arising from companies’ operations. The risk associated with each type of investment is analyzed in a separate sub-section.

I. There are two measures of risk used in the investment analysis of stocks:

  • Standard Deviation: 

Risk is normally measured by standard deviation. As you know, standard deviation measures variances on the upside and downside of the arithmetic mean. Standard deviation is a measure of dispersion or variation around the measures of central tendency. Standard deviation measures portfolio risk. Portfolio risk can be classified into systematic and unsystematic risk. Outliers and extreme values can impact standard deviation. It also rates positive variations or deviations from the arithmetic mean as risk and assumes that a normal distribution captures the entire distribution of returns.

  • Systematic Risk: 

It measures market risk or risk inherent in the entire market or the market segment. This risk cannot be diversified away through careful stock picking. This risk affects the market, not a particular stock or industry segment.

  • Unsystematic Risk:

 This is a risk inherent in a particular company or industry segment. This can be diversified through careful Financial Analysis to weed out non-performing stocks or industry sectors. Stock selection helps in this process if stocks are added to the portfolio after careful financial analysis. Concentration risk happens when you invest a disproportionate amount in single security leading to unsystematic risk.

  • Beta: 

This is the risk that security returns variations or fluctuations move in tandem with market volatility and fluctuations. Returns of Market indices like Sensex 30 and Nifty 50 measure market returns. Beta is measured by the covariance of security returns and market returns. Beta estimates systematic risk or market risk.

II. Investing in fixed-income instruments comes with its own set of risks.

  • Interest-rate Risk:

Interest rate risk is the key risk when investing in bonds and other fixed-income investments and mutual funds. This is the risk that market interest rates change after investing in a particular fixed-income security. Interest rates and bond prices have an inverse relationship. Interest rate affects you when you undertake bond trading as you may have purchased a bond at a premium but are forced to sell it at a discount before maturity. Interest rate risk is measured by duration, which is the first derivative of the change in prices in response to changes in the market interest rates.

 

  • Credit Risk: 

 

This is the risk that the company does not make payments of the interest and principal repayments due on the bond. The company may be facing adverse financial circumstances and may be forced to default. Credit rating agencies periodically analyze credit risk and future outlook for the company as it impacts interest and principal payments. They provide credit ratings for the long term and short term, which signal the outlook for the company’s financial position.

III. Risk of investing in foreign exchange denominated instruments

1) Exchange Risk: 

Suppose you have invested in foreign exchange denominated securities, whether equity or debt. Your investments will be subject to exchange risk when the investments are valued at the market currency exchange rates for the home currency. Exchange risk, determined by relative interest rate movements, can positively impact portfolio valuation.

IV. Companies suffer from operational risk and financial risk.

1) Operational risk

This arises from the operations of the company and is measured by the variability of the Earnings and profits of the company.

2) Financial Risk: 

This is a risk that arises from the financial leverage that the company has undertaken. Simply put, this refers to the proportion of debt to equity and the impact of interest cash flows on the profitability of the company.

Risk Management

When you study risk management, you study the totality of risks that affect an organization or an enterprise. As an investment banker, you need to analyze the various types of risks affecting the investment portfolios of your clients and the ultimate portfolio impact. Doing risk management courses is a must if you wish to pursue an investment banking career. Whether it is corporate or investment banking, risk management in banking becomes of the utmost importance, and knowledge of risk management is crucial. Knowledge of portfolio diversification, asset allocation, and hedging techniques is important to diversify your client’s risk.

Imarticus learning Pvt Ltd  can be of great help to you in this regard. Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

8 benefits of Corporate Training for every organization

Posted on by Imarticus Learning

8 benefits of Corporate Training for every organization

corporate

According to the Allied Market Research report, the global market for corporate training and development programs is projected to reach $487.3 billion by 2030, growing at a compound annual growth rate of 8% from 2021 to 2030.

Corporate Training

Corporate training is an essential booster for every organization to grow, inspire and motivate the employees of the organization. You can train your employees through a skills workshop and coaching, shadowing, and mentoring them as you increase their responsibility.

Unlike orientation programs, corporate training is not for fresher employees but all, including experienced and specialist colleagues. It is essential to offer them the space to learn new hobbies. It will help their professional growth and ensure they pick up exciting skills. Further, it will give them the time to focus on their dream projects. Employees understand social and professional responsibilities that help them grow professionally.

Here are 8 pointers of why corporate training is vital for organizational growth.

The corporate training programs for employees

  1. Increase employee satisfaction and boost morale.
  2. Help your employees stay ahead of their competitors.
  3. Improve consistency in your employees and develop soft skills.
  4. Increase dedication and efficiency in your employees.
  5. Increase productivity by adhering to quality standards.
  6. Keep your staff up to date with the latest changes.
  7. Identify weaknesses and bridge the skills gap in your workforce.
  8. Innovate in production, marketing and sales.

Benefits of Corporate Training

[1] Increased job satisfaction and employee retention

Conducting training programs indicates that the company invests in employees because they are valued and appreciated. In return, the employees believe and decide to stay in the company.

 [2] Improves brand reputation

Companies practicing corporate training gain a reputation in the industry. It also strengthens the core competencies and skills, challenging competitors. 

[3] Enhance employee skills

Improved skills in the production of quality deliverables give employees a better place. Their responsible decisions can contribute to development. As a result, the company that performs well can expect to rake in significant profits. 

[4] Increased innovation

As employees learn methods of carrying out tasks, they become more efficient, and as a result, their work quality improves with proper training and guidance.

The confidence gained from this can motivate employees to do better and think of new ideas to help them do better. Continuous training also keeps employees up to date on the latest developments in the industry.

 [5] Saves ops cost

Staff training with the latest technology is skilled and innovative; They reduce the need to outsource. Corporate sales training aims to equip salespeople with more effective and efficient sales techniques and help them understand what techniques are suitable for the business.  

[6] Increases employee motivation

An investment in training by a company shows how valuable those employees are. Training creates a supportive workplace. Employees are motivated to perform better and more productively.

[7] Strengthen team and individual  

Corporate training programs work on employees who lack skills in the workplace. Targeted training programs help bridge skill gaps and lead to a more productive and collaborative work environment.

 [8] Support industry processes

Employees who receive the necessary training are aware of compliance requirements. They can carry out proper procedures and adhere to safety measures while successfully performing each task.

Conclusion

Skilled employees are always an asset to your business. They are vital in developing your business and organizational success. The famous quote by Richard Branson (Founder, Virgin Atlantic) carries a great message for everyone running a business or an organization: “Train people well enough so they can leave. Treat them well enough so they don’t want to.” A trained employee is a valuable asset and an ideal candidate for competing businesses. Therefore, it is essential to treat such a person well to gain their trust and loyalty and retain them. 

 Learn The Basics Of Python In Six Minutes

Posted on by Imarticus Learning

Learn The Basics Of Python In Six Minutes

Learning to program or begin with a new language is not easy: We’re sure your mind is racing with all of the new concepts you need to absorb, and the onslaught of knowledge might be daunting at times.

Python is currently one of the most popular—and well-paid—programming languages globally.

This guide will teach you the fundamentals of Python. This Python training is ideal if you are new to Python programming. You will be familiar with Python programming after finishing this guide.

Why learn Python? 

It’s a programming language that’s been around for almost 30 years, and millions of individuals worldwide use it. Python is simple to learn, making it an excellent choice for beginning programmers. It also increases your productivity when writing code, so this guide will assist you in wanting to get started with coding or enhancing your current skill set!

Python installation is relatively simple, and many Linux and UNIX systems now contain a modern Python. Some Windows machines (particularly those from HP) now come pre-installed with Python. 

Here we start with the basics of Python Programming:

Syntax

There are no required statement termination characters in Python. To begin a block, indent it, and to end it, dedent it. Statements that need an indentation level get followed by a colon (:). Comments are single-line strings that begin with the pound (#) sign; multi-line strings are for multi-line comments. The equals sign (“=”) to assign values (in actuality, objects with names), whereas the equality sign (“==”) test equality. Using the += and -= operators, you may increase or decrease numbers by the right-hand amount. This works with a variety of data kinds, including strings. 

Data types: 

Python data structures include lists, tuples, and dictionaries. The sets library contains sets (but are built-in in Python 2.5 and later). Lists are one-dimensional arrays, and dictionaries are associative arrays (commonly known as hash tables). Tuples are immutable one-dimensional arrays (Python “arrays” can be of any type so that you can combine integers, texts, and so on). 

Strings

Its strings can contain either single or double quotation marks, and you can put one type of quotation mark inside another (for example, “He said ‘hello.'” is legitimate). Strings with many lines are in _triple, and double-quotes.

Flow control statements

If, for, and while are flow control statements. Instead of using if, there is no switch. Use to iterate over the members of a list. Use range(number>) to get a list of numbers you can iterate through.

Learn data analytics online with Imarticus Learning

This placement-assured data analytics course will teach students how to use Data Science in the real world and build complicated models that yield critical business insights and projections.

Course Benefits for Learners:

  • Students must understand the fundamentals of data analytics and machine learning and the most in-demand data science tools and methodologies.
  • Learners earn a tableau certification by participating in 25 real-world projects and case studies led by business partners.
  • Recent graduates and early-career workers should consider enrolling in data science and analytics programs since they are among the most in-demand talents in today’s industry.

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