# 3 Best & Free Data Science Math Courses & Tutorials in India 

It is incredibly difficult for students with so many Data Science Math courses to meet their needs. Learners also ask whether each case has a Data Science Math Course. The response is YES. Below you can find popular courses. Registration for the right course is an important factor in your career growth. In this article, experts selected the best Data Science Math courses in 2023.

The main goal is to illustrate the most popular courses in all categories.

Let us look at the best Maths courses in the field of Data Science.

## 1. Mathematics for Data Science Specialization by National Research University (Coursera)

Duration: 6 months, 4 hours/week

Rating: 4.3 out of 5

The curriculum consists of four separate classes, each designed to help you understand the mathematics of data science. This training program will allow you to cover a number of mathematical methods and to see how they are used in data science. You will also find out about the most critical areas of mathematics, such as discrete mathematics, calculus, linear algebra, and probability. The program is developed by qualified professionals from the National Research University of Higher School of Economics. The program instructors will assist you in the whole program via live sessions or e-mail to get to the depth of each definition.

### Key Highlights:

• Provide relevant graph theory notions and learn how to illustrate them in social network charts while studying basic properties.
• Get a brief overview of combinatorics, the mathematics branch that is crucial for every single person working on data analysis or computer science.
• Research limits and calculus integration when developing the foundation for fundamental optimisation.

## 2. Data Science Math Skills by Duke University (Coursera)

Duration: 13-14 hours

Rating: 4.5 out of 5

### Key Highlights:

• Know about the instantaneous rate of change concepts, tangent lines, exponents, logarithms, and the natural log function.
• Master the notation, terminology, definitions and algebra rules, of which every data scientist should know other specialized materials before they read.
• Understand a wide range of issues including set theory, Venn diagrams, real-number line properties, summation and sigma notation uses, visuals and descriptions on the x-y plane and their inverse functions.
• Learn how to apply derivative concepts with real-world examples and definitions to the real-world optimization problem.

## 3. Mathematics for Data Science and Machine Learning (Udemy)

Duration: 10-11 hours

Rating: 4.4 out of 5

This introductory course was developed by Eduonix Learning Solutions to help you learn basic mathematics for the Data Science, AI and ML using the R language. In this class, you will almost learn everything about the basic mathematics of R programming language for data science, which is used explicitly to better perform statistics, data analytics and graphic modules. During the course you will also discuss some of the essential mathematical topics, including linear algebra, section calculus, vector calculus, etc. After this program has been completed, you will become a successful data scientist or data analyst with advanced concepts of mathematics.

### Key Highlights:

• Contains various 9-hour video content sections created by an accomplished data scientist – Timothy Young.
• A hand-picked practical approach to basic mathematical principles for data science using R programming.
• Includes a few quizzes, tasks, practice exercises, real-world examples and much more to offer you maximum mathematical and R programming knowledge.
• Discover various principles of data science mathematics in the simplest way, through understanding fundamental mathematics.