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Free Statistical Analysis Courses

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Statistics for Data Science
star   4.58 70.3K+ learners 7.5 hrs

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

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Statistical Analysis
star   4.5 18.9K+ 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

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Statistics for Machine Learning
star   4.58 43.5K+ 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 64.6K+ 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 11.2K+ learners 6 hrs

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

img icon BASICS
Statistics for Data Science
star   4.58 70.3K+ learners 7.5 hrs

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

img icon BASICS
Statistical Analysis
star   4.5 18.9K+ learners 1 hr

Skills: Statistical Analysis, EDA

img 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

img icon BASICS
Statistics for Machine Learning
star   4.58 43.5K+ 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

img icon BASICS
Statistical Methods for Decision Making
star   4.44 64.6K+ learners 2 hrs

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

img icon BASICS
Advanced Statistics for Machine Learning
star   4.49 11.2K+ 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

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4.0

Country Flag 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.

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5.0

Country Flag 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.

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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.

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Reviewer Profile

5.0

Country Flag 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.

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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.

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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.

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Reviewer Profile

5.0

Country Flag India
“A Nicely Structured Course for Statistics for Data Science”
I like the project assignment as well as the extensive quiz.

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Reviewer Profile

5.0

Country Flag 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.

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Reviewer Profile

5.0

Country Flag 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.

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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.

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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.