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University & Pro Programs

Free Statistical Analysis Courses

img icon BASICS
Statistics for Data Science
star   4.58 70.9K+ learners 7.5 hrs

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

img icon BASICS
Statistical Analysis
star   4.5 19.5K+ learners 1 hr

Skills: Statistical Analysis, EDA

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Importance of Statistics in Machine Learning
star   4.46 1.7K+ learners 1 hr

Skills: Big Data, Statistics and Measures of Central Tendency

img icon BASICS
Statistics for Machine Learning
star   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

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Statistical Methods for Decision Making
star   4.44 65.1K+ learners 2 hrs

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

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Advanced Statistics for Machine Learning
star   4.49 11.4K+ learners 6 hrs

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

free icon BASICS
Statistics for Data Science
star   4.58 70.9K+ learners 7.5 hrs

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

free icon BASICS
Statistical Analysis
star   4.5 19.5K+ learners 1 hr

Skills: Statistical Analysis, EDA

pro icon PRO
Financial Markets & Investment Analysis
star   4.38 383 learners 9 hrs
free icon BASICS
Importance of Statistics in Machine Learning
star   4.46 1.7K+ learners 1 hr

Skills: Big Data, Statistics and Measures of Central Tendency

free icon BASICS
Statistics for Machine Learning
star   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

free icon BASICS
Statistical Methods for Decision Making
star   4.44 65.1K+ learners 2 hrs

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

free icon BASICS
Advanced Statistics for Machine Learning
star   4.49 11.4K+ learners 6 hrs

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

Learn Statistical Analysis For Free & Get Completion Certificates

Statistical analytics is the process of exploring, analyzing, and interpreting data to gain insight and make decisions. It is the application of statistical techniques to understand patterns and trends in data sets. In the modern world, statistical analytics is used in virtually every field, from business and finance to healthcare, government, and social sciences. 

 

Statistical analytics is used to uncover hidden patterns, relationships, and trends in data. It can help identify correlations between variables, uncover underlying trends, and predict future outcomes. Statistical analytics can be used to make decisions, inform policy, and optimize processes. For example, it can be used to assess the effectiveness of marketing campaigns, optimize product design, and identify customer segments. 

 

Statistical analytics can be applied in a variety of ways. It can identify trends, analyze customer behavior, and forecast outcomes. It can also be used to identify relationships between data points, such as the relationship between customer demographics and product purchases. Statistical analytics can also be used to build predictive models and make recommendations. 

 

Statistical analytics is a powerful tool for businesses and organizations, and it can help make decisions, inform policies, and optimize processes. However, to get the most out of statistical analytics, it is essential to understand the fundamentals of data analysis and the different types of statistical techniques available. By understanding these concepts and applying them correctly, businesses and organizations can use statistical analytics to gain insight, make better decisions, and achieve better outcomes.

 

Great Learning Academy offers free Statistical Analysis courses to help you advance your knowledge and understanding of statistics, business analytics, and Machine Learning. Whether a student or a working professional, taking a free course in statistical analysis is a great way to learn the fundamentals and better grasp the statistical techniques used in data science. This subject page offers a wide range of free statistical analysis courses covering descriptive statistics, probability, hypothesis testing, linear regression, and other concepts for decision-making, advanced statistics, and Machine Learning. These courses also provide hands-on exercises to practice what you learn and develop your skills. 

 

These free Statistical Analysis courses are designed for individuals of all levels. Whether you are a beginner in the field or an experienced analyst, you can find a course designed to your current level of knowledge and skill. Experienced professionals teach these courses, so you can be sure you are learning from experts. These courses also offer plenty of resources to help you learn and understand the material. You can access the online library of resources, which includes study guides, e-books, and articles to supplement your learning. Take these courses today and expand your knowledge of statistics and statistical analysis!

 

You can further enhance your skills in the domain through the Data Science and Business Analytics course

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Our learners also choose

Learner reviews of the Free Statistical Analysis Courses

Our learners share their experiences of our courses

4.52
72%
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Reviewer Profile

4.0

Country Flag United States
“Comprehensive Overview of Statistics in Data Science”
The "Statistics in Data Science" course provides a solid foundation in key statistical concepts essential for data analysis, such as probability distributions, hypothesis testing, and regression analysis. The content is well-structured, and the practical applications enhance understanding. Interactive exercises and real-world examples improve engagement, making it highly beneficial for anyone looking to strengthen their statistical skills in data science.
Reviewer Profile

5.0

Country Flag 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.
Reviewer Profile

4.0

Country Flag United States
“Learnt Probability and Statistics”
Learnt Probability and Statistics related concepts which are essential for understanding and analyzing data, making predictions, and making informed decisions based on statistical evidence.
Reviewer Profile

5.0

“Mastering Statistics & Probability for Machine Learning”
This course introduces key statistical concepts, from descriptive statistics and visualizations to measures of central tendency and dispersion. It covers univariate, bivariate, and multivariate analyses, as well as probability fundamentals, Bayes' theorem, and distributions, building a strong foundation for machine learning applications.
Reviewer Profile

5.0

Country Flag India
“The instructor is highly knowledged in the field of Statistics”
The instructor made it very easy to understand the concepts of Statistics
Reviewer Profile

5.0

Country Flag India
“Python programming in hindi language ”
Thank you for a great course. Great presentation style with lots of opportunities to ask questions and talk about real life examples which all made for a really enjoyable and informative course." "This has more than met my expectations." "A wonderfully practical course - both personally and professionally.
Reviewer Profile

5.0

Country Flag India
“Learnt a lot about ML. Questions were also fun to solve.”
In a Machine Learning course, what I enjoy most is the process of transforming raw data into meaningful insights through model training and evaluation. It's fascinating to learn about different algorithms, such as decision trees, neural networks, and support vector machines, and understanding how they can be applied to solve real-world problems. The hands-on aspect of coding and experimenting with various datasets helps reinforce theoretical concepts.
Reviewer Profile

5.0

Country Flag India
“my learning experience in Statistics for Data Science”
I appreciate the following aspects of certificate courses in Statistics for Data Science: Practical Application: Real-world projects and case studies help solidify understanding and build practical skills. Hands-on Experience: Coding exercises and data analysis projects provide hands-on experience with statistical tools and techniques.
Reviewer Profile

4.0

Country Flag India
“Mastering Statistics for Data Science: A Comprehensive Guide to Key Concepts,”
Statistics is the backbone of data science, empowering practitioners to analyze, interpret, and derive meaningful insights from data. Mastering statistical concepts and techniques is essential for understanding patterns, making informed decisions, and building robust machine learning models. This knowledge not only enhances analytical capabilities but also fosters a deeper appreciation of the data-driven processes that shape modern industries. By integrating these statistical tools into your data science journey.
Reviewer Profile

5.0

Country Flag India
“My learning experience with the statistical course on Great Learning has been highly enriching and insightful.”
I liked most about its clear and concise explanation of complex concepts, making them easy to grasp. The course effectively combined theoretical knowledge with practical applications, providing real-world examples that made the topics more relatable and engaging. The interactive quizzes and assignments were particularly enjoyable, as they allowed me to apply what I learned and reinforced my understanding.

Meet your faculty

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

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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning
  • 30+ years of experience in data science, ML, and analytics.
  • Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.
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Dr. P K Viswanathan

Professor, Analytics & Operations
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.

Frequently Asked Questions

What are the prerequisites required to learn these Statistical Analysis courses?

These courses include beginner-level Statistical Analysis introduction to give you foundational knowledge on required concepts. So, you need not do any homework before learning from these free courses. 
 

How long does it take to complete these Statistical Analysis courses?

These courses include 1-6 hours of video lectures. These courses are, however, self-paced, and you can complete them at your convenience. 
 

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

After completing these free Statistical Analysis courses, you will gain knowledge and skills in probability distributions, hypothesis testing, and statistical modeling. You will also learn how to apply these concepts to real-world data, as well as how to interpret and analyze the results. Additionally, you will gain an understanding of different statistical software packages that are used to perform various statistical analytics operations for Machine Learning tasks.
 

Will I have lifetime access to these free Statistical Analysis courses with certificates?

Yes. You will have lifetime access to these courses after enrolling in them and access to certificates after completing the course.
 

Will I get a certificate after completing these free Statistical Analysis courses?

Yes. After completing them successfully, you will receive a certificate of completion for each course. 

How much do these Statistical Analysis courses cost?

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

What are my next learning options after these Statistical Analysis courses?

These free Statistical Analysis courses give you a competitive edge in your professional life. You can register for the Applied Data Science course to escalate your learning in Data Science and Business Analytics domains.

Is it worth learning Statistical Analysis?

Knowing statistics analysis enables you to select the best techniques for data collection, apply the right analysis, and effectively communicate the findings. Making judgments based on data, making predictions, and making scientific discoveries depend on statistics. Statistical analysis can provide valuable information required to make judgments while introducing new products in the market. Analysis can be used to forecast demand and sales and identify trustworthy markets for the product. Additionally, it might aid in choosing the ideal launch window. 
 

Why is Statistical Analysis so popular?

Statistical analysis can assist industrial organizations in making more accurate judgments. These decisions are more trustworthy than those based a tendency to be more trustworthy than those based just on intuition because data support them. Statistical analysis is crucial since it aids firms in maximizing their outputs. By finding more cost-effective ways to do business and retaining a lot of data, firms can help cut expenses by incorporating it into their business strategy.
 

What jobs demand you learn Statistical Analysis?

Jobs that are directly related to Statistical Analysis include,

  • Business Intelligence Analyst
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Quantitative Analyst
  • Data Analytics Consultant
  • Operations Analyst
  • Marketing Analyst
     

Why take Statistical Analysis courses from Great Learning Academy?

Great Learning Academy offers a wide range of high-quality, completely free Statistical Analysis 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 Statistical Analysis courses!
 

Who are eligible to take these free Statistical Analysis courses?

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

What are the steps to enroll in these free Statistical Analysis courses?

To learn Statistical Analysis from these courses, you need to,

  • Go to the course page
  • Click on the "Enroll for Free" button
  • Start learning the Statistical Analysis course for free online.