Free Statistics Courses with Certificates

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Great Learning Academy’s free statistics courses online cover probability, populations and samples, descriptive statistics, inferential statistics, hypothesis testing, and statistical distributions for data science, analytics, and machine learning. Learn central tendency, variability, correlation, regression analysis, the central limit theorem, chi-square tests, ANOVA, and exploratory data analysis to interpret data with more confidence. Build and apply statistical skills through practical analysis and decision-making use cases, then strengthen your ability to draw clearer conclusions.

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UNIVERSITY

MIT IDSS

AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact

12 weeks • Online

Learn from MIT Faculty

PRO

NEW

40 coding exercises 3 projects

Statistics for Data Science & Analytics

View Course

BASICS

4.58 70.7K+ learners 7.5 hrs

Statistics for Data Science

Skills: Probability,Population, Samples,Statistical analysis,Hypothesis testing,Statistical distributions

View Course

BASICS

4.5 19.3K+ learners 1 hr

Statistical Analysis

Skills: Statistical Analysis, EDA

View Course

PRO

NEW

40 coding exercises 3 projects

Statistics for Data Science & Analytics

View Course

BASICS

4.44 64.9K+ learners 2 hrs

Statistical Methods for Decision Making

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

View Course

BASICS

Importance of Statistics in Machine Learning

4.46 1.7K+ learners 1 hr

Importance of Statistics in Machine Learning

Skills: Big Data, Statistics and Measures of Central Tendency

View Course

BASICS

4.58 43.6K+ 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

4.55 4.8K+ learners 1 hr

Inferential Statistics

Skills: Data Collection, Statistical Analysis, Probability, Central Limit Theorem, Hypothesis Testing, Chi-Square Test, ANOVA

View Course

BASICS

4.46 10.4K+ learners 1 hr

Introduction to Descriptive Statistics

Skills: Central Tendency, Measures of Variability, Measure of Skewness, Kurtosis

View Course

BASICS

Statistics for Data Science

4.58 70.7K+ learners 7.5 hrs

Skills: Probability,Population, Samples,Statistical analysis,Hypothesis testing,Statistical distributions

BASICS

Statistical Analysis

4.5 19.3K+ learners 1 hr

Skills: Statistical Analysis, EDA

PRO

Statistics for Data Science & Analytics

4.83 1.5K+ learners 3.5 hrs

BASICS

Statistical Methods for Decision Making

4.44 64.9K+ learners 2 hrs

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

BASICS

Importance of Statistics in Machine Learning

4.46 1.7K+ learners 1 hr

Skills: Big Data, Statistics and Measures of Central Tendency

BASICS

Statistics for Machine Learning

4.58 43.6K+ 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

Inferential Statistics

4.55 4.8K+ learners 1 hr

Skills: Data Collection, Statistical Analysis, Probability, Central Limit Theorem, Hypothesis Testing, Chi-Square Test, ANOVA

BASICS

Introduction to Descriptive Statistics

4.46 10.4K+ learners 1 hr

Skills: Central Tendency, Measures of Variability, Measure of Skewness, Kurtosis

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Learner reviews of the Free Statistics Courses

Our learners share their experiences of our courses

4.52

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19%

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V Sri Krishna Deva Rayudu

4.0

★★★ ★ ☆

India

“Simple to Understand and Easy to Resume After a Break”

The course "Statistics for Data Science" is designed to be straightforward and accessible, ensuring that concepts are easy to grasp. The material is structured in a way that allows learners to pick up where they left off, even after taking a break, without losing continuity. The course is tailored for both beginners and those with some background in statistics, making complex topics understandable through clear explanations and practical examples. Whether you're stepping away for a short time or diving back in after a longer pause, you'll find the content intuitive and easy to re-engage with, enabling a smooth and effective learning experience.

Heramb Chaudhari

5.0

★★★★ ★

India

“Insightful and Practical Learning Experience”

I appreciated the well-structured content, which covered each topic in a logical sequence. The quizzes and assignments were valuable in reinforcing what I learned, and the practical approach helped me build real-world skills. The support from instructors and the interactive modules made the learning experience engaging. Overall, the course was a perfect balance of theory and practice.

HETRAM SAINI S

5.0

★★★★ ★

“Engaging and Informative Learning Experience: Great Course with Practical Insights and Excellent Curriculum and Instructors”

The course provided a well-structured curriculum with in-depth explanations. The quizzes and assignments were engaging and helped reinforce learning. The instructor explained concepts clearly, making the learning process smooth and enjoyable.

Darshan Thorat

5.0

★★★★ ★

India

“Great Learning Free Course for CM”

I've been exploring the free courses on the Great Learning app, and I must say, it's been an incredible experience! The platform offers a wide range of topics, all curated with high-quality content. The courses are easy to follow, engaging, and well-structured, making learning enjoyable and efficient. I particularly appreciate the flexibility of learning at my own pace and the ability to revisit any lesson whenever needed. The practical exercises and real-world examples help solidify concepts in a meaningful way.

Tehreem Qasim

5.0

★★★★ ★

“I Had a Very Nice Experience with This Course”

Very nice course. The instructor is awesome and explains the topics very well.

Dr.Thiruppathi Appasamy

5.0

★★★★ ★

India

“Course Name: Statistics for Data Science”

What I like most about Statistics for Data Science is its practicality and power to turn raw data into actionable insights. Whether it's testing hypotheses, making predictions, or understanding relationships, statistics lays the groundwork for nearly every decision and model in data science.

A A KHATANA

5.0

★★★★ ★

India

“A Nicely Structured Course for Statistics for Data Science”

I like the project assignment as well as the extensive quiz.

Mrunal Shah

5.0

★★★★ ★

India

“Flow of Learning Was Really Good, and I Liked the Way of the Faculty Teaching in a Hybrid Model”

Everything was better than expected. I'm looking forward to doing more courses as well.

Manish P

5.0

★★★★ ★

India

“An Engaging and Informative Course Experience”

I thoroughly enjoyed this course and found it to be highly informative and engaging. The curriculum was well-structured, covering a wide range of topics in depth. The instructors were knowledgeable and presented the material in a clear and concise manner. The quizzes and assignments were challenging yet fair, helping to reinforce the concepts learned. Overall, this course provided a comprehensive learning experience that was both enjoyable and educational.

Manahil Tariq

5.0

★★★★ ★

“I learned about making boxplots using Seaborn and about discrete and continuous data. I am glad to know about prediction concepts for future thoughts.”

I am glad to be a part of this course. This increased my statistical concepts as much as I expected. I am very satisfied with this course.

Meet your faculty

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

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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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.

Frequently Asked Questions

What will I learn in these free Statistics courses?

You will learn probability, populations and samples, statistical analysis, hypothesis testing, statistical distributions, descriptive statistics, inferential statistics, regression analysis, and exploratory data analysis. These topics help you build a strong base for data science, analytics, and machine learning work.

What core modules are covered across the overall learning path?

The overall path covers probability, central tendency, variability, skewness, kurtosis, statistical distributions, sampling, hypothesis testing, correlation analysis, regression analysis, chi-square tests, ANOVA, and decision-making methods.

Will I learn descriptive statistics in a practical way?

Yes. You will study central tendency, measures of variability, skewness, and kurtosis, which help you summarize data clearly before moving to more advanced analysis.

Do these courses cover inferential statistics

Yes. The learning path includes inferential statistics topics such as data collection, probability, the central limit theorem, hypothesis testing, chi-square tests, and ANOVA.

What will I learn about hypothesis testing?

You will learn how hypotheses are used to test statements, along with the role of probability, sampling, and the central limit theorem in drawing conclusions from data.

Do these courses include decision-making methods?

Yes. Statistical Methods for Decision Making covers descriptive statistics, probability theory, hypothesis testing, regression analysis, and decision-making methods, which helps you use data more effectively in business and analytical contexts.

Will I learn statistics for machine learning?

Yes. The page includes courses on the importance of statistics in machine learning and statistics for machine learning, covering descriptive statistics, measures of dispersion, empirical and Chebyshev rules, and correlation analysis.

Will I learn exploratory data analysis?

Yes. Statistical Analysis includes statistical analysis and EDA, which helps you examine patterns, distributions, and relationships before modeling or deeper analysis.

What practical outcomes will I get from these Statistics courses

You will build the ability to summarize data, interpret variability, test assumptions, understand distributions, and support data-driven decisions in analytics, machine learning, and applied business problems.

Do these courses help with data science and analytics work?

Yes. Great Learning states that these courses help you work on data science and machine learning tasks, implement statistical methods, and make data-driven managerial decisions.

Are there prerequisites for these Statistics courses?

No. Great Learning says these courses have no prerequisites and that anybody can learn from them online for free.

Who should take these Statistics courses?

These courses are useful for beginners, learners moving into data science or analytics, and anyone who wants a stronger grasp of data interpretation, statistical thinking, and machine learning foundations. Great Learning also notes that statistics supports roles such as data analyst, data scientist, market researcher, investment analyst, and statistician.

What are the steps to enroll in these free Statistics courses?

To learn Statistics from these courses, you need to,
Go to the course page
Click on the "Enroll for Free" button
Start learning the Statistics course for free online.

Who are eligible to take these free Statistics courses?

These courses have no prerequisites. Anybody can learn from these courses for free online.

Why take Statistics courses from Great Learning Academy?

Great Learning Academy offers a wide range of high-quality, completely free Statistics courses. From beginner to advanced level, these free courses are designed to help you improve your Data Science and Business analytics skills and achieve your goals. All these courses come with a certificate of completion, so you can demonstrate your new skills to the world. Start learning today and discover the benefits of free Statistics courses!

How much do these Statistics courses cost?

These are free courses, and you can enroll in them and learn for free online.

Will I get a certificate after completing these free Statistics courses?

All courses are free, A certificate is available for a nominal fee upon successful completion of the course.

What knowledge and skills will I gain upon completing these free Statistics courses?

You will gain a foundational understanding of Statistics. You will be skillful in working with Data Science and Machine Learning tasks, including implementing statistical methods and deriving data-driven managerial decisions. You will realize the importance of statistics in various sectors and learn to apply it in the FinTech industry.

How long does it take to complete these Statistics courses?

These courses include 2-8 hours of video lectures. These courses are, however, self-paced, and you can complete them at your convenience.

Free Statistics Courses

Learn Statistics For Free

Skills You’ll Gain in These Best Free Statistics Courses

Learner reviews of the Free Statistics Courses

Meet your faculty

Dr. P K Viswanathan

Dr. Abhinanda Sarkar

Frequently Asked Questions

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