Free Mathematics Courses

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Great Learning Academy's free mathematics courses cover data science mathematics, machine learning mathematics, discrete mathematics, probability, statistics, statistical learning, regression analysis, predictive modeling, relational algebra, and partial differential equations. Gain hands-on knowledge of mathematical and statistical techniques while developing analytical thinking, quantitative reasoning, and problem-solving skills for data science, AI, analytics, and technical interview success.

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4.89

4.94

4.7

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4.89
4.94
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4.7

BASICS

4.34 15.9K+ learners 1 hr

Data Science Mathematics

Skills: Mathematics for Data Science, Case studies

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BASICS

4.42 32.8K+ learners 1.5 hrs

Mathematics for Job Interviews

Skills: Time Distance and Speed Problem, Age, Percentage Average, Profit and loss

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BASICS

4.43 16.7K+ learners 2.5 hrs

Discrete Mathematics Part 1

Skills: Set Theory, Relations, Functions

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BASICS

4.31 4K+ learners 2 hrs

Mathematics for Machine Learning

Skills: Chain Rule, Introduction to Functions, Line Concept, Maxima and Minima of a function, Lies Planes and Hyperplanes

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BASICS

4.4 5.7K+ learners 2.5 hrs

Partial Differential Equation

Skills: Partial Differential Equation

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BASICS

123 learners 1.5 hrs

Relational Algebra Essentials

Skills: Query Processing, Set Theory for Relational Algebra, Set theory operators, Selection, Projection, Rename, Unary operators, Binary operators, Cartesian product, Joins, Aggregation Operations, Complex Queries examples

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BASICS

4.58 43.7K+ learners 2 hrs

Statistics for Machine Learning

Skills: Descriptive Statistics, Measures of Dispersion Range and IQR,,Central Tendency and 3 Ms,The Empirical Rule and Chebyshev Rule,Correlation Analysis

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BASICS

4.45 4.6K+ learners 1 hr

Statistics for Data Science Quiz

Skills: Types of Data,Types of Statistics,Correlation,Covariance,Conditional Probability, Bayes Theorem, Binomial and Poisson Distribution

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BASICS

4.44 65.2K+ learners 2 hrs

Statistical Methods for Decision Making

Skills: Descriptive statistics, probability theory, hypothesis testing, regression analysis, decision making methods

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BASICS

Advanced Statistics for Machine Learning

4.49 11.4K+ learners 6 hrs

Advanced Statistics for Machine Learning

Skills: Advanced Statistics, Hypothesis testing, Type-I and Type-II error

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BASICS

4.48 15.6K+ learners 2.5 hrs

Statistical Learning

Skills: Probability Theory, Introduction to probability, Rules for probability calculation, Bayes Theorem, Normal Distribution

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BASICS

4.47 55K+ learners 1.5 hrs

Probability for Data Science

Skills: Basics of Probability, Marginal Probability, Bayes Theorem

View Course

BASICS

Data Science Mathematics

4.34 15.9K+ learners 1 hr

Skills: Mathematics for Data Science, Case studies

BASICS

Mathematics for Job Interviews

4.42 32.8K+ learners 1.5 hrs

Skills: Time Distance and Speed Problem, Age, Percentage Average, Profit and loss

BASICS

Discrete Mathematics Part 1

4.43 16.7K+ learners 2.5 hrs

Skills: Set Theory, Relations, Functions

BASICS

Mathematics for Machine Learning

4.31 4K+ learners 2 hrs

Skills: Chain Rule, Introduction to Functions, Line Concept, Maxima and Minima of a function, Lies Planes and Hyperplanes

BASICS

Partial Differential Equation

4.4 5.7K+ learners 2.5 hrs

Skills: Partial Differential Equation

BASICS

Relational Algebra Essentials

123 learners 1.5 hrs

BASICS

Statistics for Machine Learning

4.58 43.7K+ learners 2 hrs

Skills: Descriptive Statistics, Measures of Dispersion Range and IQR,,Central Tendency and 3 Ms,The Empirical Rule and Chebyshev Rule,Correlation Analysis

BASICS

Statistics for Data Science Quiz

4.45 4.6K+ learners 1 hr

Skills: Types of Data,Types of Statistics,Correlation,Covariance,Conditional Probability, Bayes Theorem, Binomial and Poisson Distribution

BASICS

Statistical Methods for Decision Making

4.44 65.2K+ learners 2 hrs

Skills: Descriptive statistics, probability theory, hypothesis testing, regression analysis, decision making methods

BASICS

Advanced Statistics for Machine Learning

4.49 11.4K+ learners 6 hrs

Skills: Advanced Statistics, Hypothesis testing, Type-I and Type-II error

BASICS

Statistical Learning

4.48 15.6K+ learners 2.5 hrs

Skills: Probability Theory, Introduction to probability, Rules for probability calculation, Bayes Theorem, Normal Distribution

BASICS

Probability for Data Science

4.47 55K+ learners 1.5 hrs

Skills: Basics of Probability, Marginal Probability, Bayes Theorem

1 2

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Get started with these courses

BASICS

123 learners 1.5 hrs

Relational Algebra Essentials

View Course

BASICS

4.31 4K+ learners 2 hrs

Mathematics for Machine Learning

Skills: Chain Rule, Introduction to Functions, Line Concept, Maxima and Minima of a function, Lies Planes and Hyperplanes

View Course

BASICS

4.45 4.6K+ learners 1 hr

Statistics for Data Science Quiz

Skills: Types of Data,Types of Statistics,Correlation,Covariance,Conditional Probability, Bayes Theorem, Binomial and Poisson Distribution

View Course

BASICS

4.4 5.7K+ learners 2.5 hrs

Partial Differential Equation

Skills: Partial Differential Equation

View Course

BASICS

4.49 11.4K+ learners 6 hrs

Advanced Statistics for Machine Learning

Skills: Advanced Statistics, Hypothesis testing, Type-I and Type-II error

View Course

BASICS

4.44 65.2K+ learners 2 hrs

Statistical Methods for Decision Making

Skills: Descriptive statistics, probability theory, hypothesis testing, regression analysis, decision making methods

View Course

BASICS

4.47 55K+ learners 1.5 hrs

Probability for Data Science

Skills: Basics of Probability, Marginal Probability, Bayes Theorem

View Course

BASICS

4.58 43.7K+ learners 2 hrs

Statistics for Machine Learning

Skills: Descriptive Statistics, Measures of Dispersion Range and IQR,,Central Tendency and 3 Ms,The Empirical Rule and Chebyshev Rule,Correlation Analysis

View Course

BASICS

4.42 32.8K+ learners 1.5 hrs

Mathematics for Job Interviews

Skills: Time Distance and Speed Problem, Age, Percentage Average, Profit and loss

View Course

BASICS

4.53 30.4K+ learners 2.5 hrs

Regression Analysis Using R

Skills: Linear Regression, Concept of Multicollinearity, R Square, Predictive Modeling

View Course

BASICS

4.43 16.7K+ learners 2.5 hrs

Discrete Mathematics Part 1

Skills: Set Theory, Relations, Functions

View Course

BASICS

4.34 15.9K+ learners 1 hr

Data Science Mathematics

Skills: Mathematics for Data Science, Case studies

View Course

BASICS

4.48 15.6K+ learners 2.5 hrs

Statistical Learning

Skills: Probability Theory, Introduction to probability, Rules for probability calculation, Bayes Theorem, Normal Distribution

View Course

New

BASICS

123 learners 1.5 hrs

Relational Algebra Essentials

View Course

BASICS

4.31 4K+ learners 2 hrs

Mathematics for Machine Learning

Skills: Chain Rule, Introduction to Functions, Line Concept, Maxima and Minima of a function, Lies Planes and Hyperplanes

View Course

BASICS

4.45 4.6K+ learners 1 hr

Statistics for Data Science Quiz

Skills: Types of Data,Types of Statistics,Correlation,Covariance,Conditional Probability, Bayes Theorem, Binomial and Poisson Distribution

View Course

BASICS

4.4 5.7K+ learners 2.5 hrs

Partial Differential Equation

Skills: Partial Differential Equation

View Course

BASICS

4.49 11.4K+ learners 6 hrs

Advanced Statistics for Machine Learning

Skills: Advanced Statistics, Hypothesis testing, Type-I and Type-II error

View Course

Popular

BASICS

4.44 65.2K+ learners 2 hrs

Statistical Methods for Decision Making

Skills: Descriptive statistics, probability theory, hypothesis testing, regression analysis, decision making methods

View Course

BASICS

4.47 55K+ learners 1.5 hrs

Probability for Data Science

Skills: Basics of Probability, Marginal Probability, Bayes Theorem

View Course

BASICS

4.58 43.7K+ learners 2 hrs

Statistics for Machine Learning

Skills: Descriptive Statistics, Measures of Dispersion Range and IQR,,Central Tendency and 3 Ms,The Empirical Rule and Chebyshev Rule,Correlation Analysis

View Course

BASICS

4.42 32.8K+ learners 1.5 hrs

Mathematics for Job Interviews

Skills: Time Distance and Speed Problem, Age, Percentage Average, Profit and loss

View Course

BASICS

4.53 30.4K+ learners 2.5 hrs

Regression Analysis Using R

Skills: Linear Regression, Concept of Multicollinearity, R Square, Predictive Modeling

View Course

BASICS

4.43 16.7K+ learners 2.5 hrs

Discrete Mathematics Part 1

Skills: Set Theory, Relations, Functions

View Course

BASICS

4.34 15.9K+ learners 1 hr

Data Science Mathematics

Skills: Mathematics for Data Science, Case studies

View Course

BASICS

4.48 15.6K+ learners 2.5 hrs

Statistical Learning

Skills: Probability Theory, Introduction to probability, Rules for probability calculation, Bayes Theorem, Normal Distribution

View Course

Learner reviews of the Free Mathematics Courses

Our learners share their experiences of our courses

4.46

★★★★

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69%

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21%

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Francis Jnr Newlands

5.0

★★★★ ★

“I Enjoyed Everything I Came Across”

Explanations were on point and simple to understand, with some examples given.

Med Dsa

5.0

★★★★ ★

United States

“Insightful Data Science Mathematics Course”

The presenter covered all topics in depth and well throughout.

Muhammad Touseef

4.0

★★★ ★ ☆

“Challenging and Rewarding Course with Well-Structured Materials”

The course content and materials used in videos help me with future challenges.

Vishal Randhawa

4.0

★★★ ★ ☆

United Arab Emirates

“Good to Learn New Things from This Course”

Good to learn new things from this course, and the teacher is really good.

Micah Daniel

5.0

★★★★ ★

Nigeria

“Learning Experience Feedback on Data Science Mathematics Course”

Awesome curriculum and easy to follow. It gives a 360-degree view of data science and the role of mathematics in data science. The case study examples are very instrumental to understanding the course.

Joshua Mecedilla

5.0

★★★★ ★

Philippines

“Brief but Good Introduction to Data Science”

It was brief but a good introduction to the field of data science. The topics discussed in the course give you a glimpse of the tools used in data science, especially mathematical techniques and models.

Shehara Dunuwila

5.0

★★★★ ★

“Excellent Explanation for the Topic”

Excellent explanation for the topic and a great opportunity to learn for free.

Gülse Acar

4.0

★★★ ★ ☆

“Great Course for Beginners”

I think it was really helpful as an introduction to data science.

Subasri Sakthivel

5.0

★★★★ ★

India

“Data Science Mathematics and Programming”

It is useful to me. This course is very interesting and easy to understand.

Zaid Rahman

4.0

★★★ ★ ☆

India

“Learning About Data Science”

The thing I liked the most is the easily understandable topics, and the lecturer was also great.

Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

◆
18+ years in AI, ML, and financial engineering solutions
◆
PhD in Mathematics from Pierre and Marie Curie University, France

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30+ years of experience in data science, ML, and analytics.
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Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

Dr. P K Viswanathan, currently serves as a professor of analytics at Great Lakes Institute of Management. He teaches subjects such as business statistics, operations research, business analytics, predictive analytics, ML analytics, spreadsheet modeling and others. In the industrial tenure spanning over 15 years, he has held senior management positions in Ballarpur Industries (BILT) of the Thapar Group and the JK Industries of the JK Organisation. Apart from executing corporate consultancy assignments, Dr. PK Viswanathan has also designed and conducted training programs for many leading organizations in India. He has degrees in MSc (Madras), MBA (FMS, Delhi), MS (Manitoba, Canada), PHD (Madras).   Noteworthy achievements: Ranked 12th in the "20 Most Prominent Analytics & Data Science Academicians In India: 2018". Current Academic Position: Professor of Analytics, Great Lakes Institute of Management. Prominent Credentials: He has authored a total of four books, three of which are on Business Statistics and one on Marketing Research published by the British Open University Business School, UK. Research Interest: Analytics, ML, AI. Patents: He has original research publications exclusively on analytics where he has developed modeling and demonstrated their decision support capabilities. These are: Modelling Credit Default in Microfinance — An Indian Case Study, PK Viswanathan, SK Shanthi, Modelling Asset Allocation and Liability Composition for Indian Banks. Teaching Experience: He has been teaching analytics for more than two decades but has been into active and intense teaching since analytics started witnessing a meteoric growth with the advent of R and Python. Ph.D. in the application of Operations Research from Madras University.

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Skills You'll Gain in These Free Mathematics Courses

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Learner reviews of the Free Mathematics Courses

Meet your faculty

Dr. D Narayana

Dr. Abhinanda Sarkar

Dr. P K Viswanathan

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