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How Learning Data Science from an IIT is Different

Posted on by Imarticus Learning

How Learning Data Science from an IIT is Different

An IIT is a premier institute of technology in India that offers a world-class education in engineering and other technical disciplines. IITs are known for their rigorous academic programs, which prepare students for successful careers in industry and academia.

Harvard Business Review ranked the data scientist position as the sexiest job of the 21st century. With companies like Amazon, Google, Facebook, and Uber investing heavily in data science (and their employees), it is currently in very high demand.

What are the exclusive features of learning from an IIT?

The statement is quite justifiable if we look at the points below.

SPECIALLY DESIGNED FOR PROFESSIONALS

management development programs

The course has been curated by IIT faculty and Data Science and Machine Learning Professionals. It will help students build a solid data science foundation and master machine learning with Python for data-driven decision-making.

Through this course, we strive to generate experts who can furnish meaningful insights from data and help companies make the correct decisions for development.

LIVE TRAINING

The course will be offered live via online sessions with the best faculty in India. The trainers belong to IIT Roorkee, IIT Ropar, IIT Guwahati, and other supreme academies. The industry experts have ample knowledge of data science and machine learning projects.

CAMPUS IMMERSION

You can visit the campus of iHUB DivyaSampark @IIT Roorkee for two days and get a chance to unite with the IIT faculty and your coursemates. You can also visit the iHUB DivyaSampark startup incubation center and pitch your startup idea in Industry 4.0, Web3.0, Healthcare, and Sustainable Development.

STARTUP FUNDING SUPPORT

Through the Digital India scheme, iHUB DivyaSampark@ IIT Roorkee will deliver a forum for energetic startup-minded students to pitch their startup idea and get allowance support. It is an exciting opportunity for enthusiastic students who want to construct something they are proud of.

PROGRAM DELIVERED BY DR BALASUBRAMANIAN

This course will be handled by Dr. Balasubramanian Raman, designated as the chief data science and ML faculty.

CERTIFICATION BY IIT ROORKEE AND IMARTICUS

The course certificate will be allocated jointly by iHUB DivyaSampark @ IIT Roorkee, DST, and Imarticus Learning. This certificate shall be nationally-recognized, enhancing the students’ resumes and helping them stand out.

What does a perfect curriculum look like while studying at an IIT?

The curriculum of an IIT is highly advanced and updated according to market standards. What shall you learn? Let us see.

Learn Python: Data Science by Example

One of the best paths to learning data science is by example, precisely what you’ll find in this course. The certificate program in Data Science and Machine Learning from IIT is designed to give you a strong foundation in the basics of Python programming. It will teach you:

how to read data sets

how to organize your code with functions and loops

how to visualize your findings with plots and graphs

how to extract critical insights using advanced statistical techniques such as linear regression

how machine learning algorithms work on raw data sets and more.

Understand Basic Statistics for Science

The program is crafted to give you a strong foundation in statistics helping you understand and apply machine learning algorithms. You will learn to handle big data sets and visualize them effectively.

Predict values employing linear regression

Work with mean, frequency distribution, conditional probability, serial correlation, covariance, multicollinearity, etc

Analyze data utilizing Sampling Distribution, F-distribution, T-distribution, Chi-Square distribution, etc.

Machine Learning with Python

Through this program, you’ll gain the necessary skills and knowledge you need to succeed in this exciting field.

Introduction to Machine Learning

Linear Regression

Optimization

Logistic Regression

Decision Trees

Random Forest

PCA

K-Means Clustering

Time Series

Text Analytics

Neural Networks

Conclusion

The Indian Institutes of Technology (IITs) are world-renowned for their rigorous academic programs, unlike what students would find at a traditional college or university. And data science is no exception. Learning from an IIT is a great way to get started if you want to become a data scientist. We have already mentioned what you can expect from our data science program. So let’s not hurry to set your career on fire to be one of the best Data Science and Machine Learning Professionals.

We recommend you check out our Certificate Program in Data Science and Machine Learning if you want to learn data science. The program is designed to teach students the fundamentals and various aspects of data science and machine learning while equipping them with the proper knowledge to implement and apply these concepts to real-world problems.

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

The role of Mathematics in learning Data Science

Posted on by Imarticus Learning

The role of Mathematics in learning Data Science

Advanced Mathematics is not about number crunching. It is more focused on telling the reason behind things, the systematic processes which make concepts a reality. And due to this, Mathematics plays a crucial and irreplaceable role in the field of data science.

Thus, if you aspire to learn data science to make a career in the field, you must have a strong understanding of mathematical concepts. You must be well equipped with pattern identification and designing algorithms if you look up to a data science career.

Besides defining a systematic approach, Mathematics is also necessary for learning the latest and most commonly used technologies in the field of data science, such as Machine Learning, Deep Learning, and Artificial Intelligence. This is because all these technologies derive their foundation from Mathematics.

We at Imarticus Learning offer a Certificate Program in Data Science and Machine Learning which helps you not only understand the concepts of data science but also help you build a stronghold on the mathematical concepts you will require during your data science career journey. Our course focuses on the mathematical branch of Statistics, which forms the basis of all data science tools and concepts.

Mathematical Concepts Which You Must Know As A Data Scientist

Following are some of the key mathematical concepts which you must be well versed in if you aspire to a data science career:

  • Probability

Probability refers to the mathematical concept that lets you evaluate the likelihood of an event. It comes in really handy for making future predictions based on data sets using the latest technologies like Machine Learning. As a data scientist, probability helps with the reasoning for your decision-making.

A large number of real-life data problems are solved by data scientists with the help of probability and its allied concepts like Baye’s Theorem and Theory of Central Tendency.

  • Hypothesis Testing

Hypothesis Testing refers to the statistical concept of testing a hypothesis concerning the assumptions made for a population parameter such as its mean, variance, etc. Data scientists use hypothesis testing in several real-world data problems, such as finding the average order value for an e-commerce website or how much fuel wastage is avoidable by a petrol pump.

It also allows data scientists to make reliable predictions, such as how much an investor can expect in return from a financial instrument. As an aspiring data scientist, you must clearly understand concepts like null and alternative hypotheses, p-value, test statistics, and significance levels. 

  • Linear Algebra

Data scientists use linear algebraic concepts of matrices and vectors to speed up their analysis processes. Linear Algebra also finds its basis in Machine Learning and Deep Learning. It allows you to model complex algorithms and represent complex data in a simplified manner for easy data interpretation and decision-making.

  • Calculus

Calculus plays a very fundamental role in developing forecasting models for data scientists. If you aspire to make a career in the field, you must understand how the derivatives of a function work. However, the good part is that, unlike in school and college, you need not do the algebraic calculations for calculus manually because, as a data scientist, you can use computers and other advanced technologies for solving differential equations.

  • Regression

Regression is a statistical concept that lets you estimate the relationship between various dependent and independent variables. It finds an in-depth use in the field of big data for estimating trends and forecasts. Some real-life examples in which data scientists make use of the concept of regression are the estimation of demand and supply, inventories, sales figures, etc. 

Our Certificate Program in Data Science and Machine Learning not only equips you with the above-mentioned mathematical concepts but also introduces you to the concepts of machine learning and data visualisation along with programming languages. In addition to the diversified yet focused curriculum, we also provide career services such as resume building, mock interviews, and Capstone Project. 

Take Away

Data Science is one of the most promising fields of the future regarding job prospects and career growth. And this is the reason why programs in data science certification in India are becoming highly popular. 

According to the latest Analytics India Magazine report, around 1,400 data science professionals in India earn more than Rs. 1 Crore annually! And with the advancement in technologies and the growing importance of data for analysing consumer behavior, the demand for data scientists will only grow in the coming times. 

Are you looking for some professional data science career advice? Contact us through chat support or visit our nearest training centres in Mumbai, Thane, Pune, Chennai, Bengaluru,Gurgaon and delhi.