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10 Best Free Statistics Courses with Certificates

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Statistics is a discipline that we know is concerned with the collection, organization, analysis, and interpretation and presentation of the data. If you wish to apply the fundamentals of statistics to a scientific, industrial, or even a social problem then it is important to always begin with a statistical population or model.

Did you know?

According to the Bureau of Labor and Statistics;

  • There are around 38,860 employed statisticians.
  • The mean hourly wage of a person working as a statistician is $46.72.
  • Whereas the mean annual wage of a statistician is around $97,170.

To understand all the fundamentals of statistics and start a career in this field, our team at takethiscourse.net has compiled a list of 10 Best Free Statistics Courses with Certificates. This list contains highly engaging and high rated statistics courses along with certificates. So let us take a look at this list.


In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Best + Free Statistics Courses with Certificates

Below you can find all the details about 10 Best Free Statistics Courses with Certificates:

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Fundamentals of Statistics

      • MIT via edX
      • 126,423+ already enrolled!
      • 18 weeks (10-14 hours/week) of effort required!

Fundamentals of Statistics

This “Fundamentals of Statistics” course will help you understand how to construct estimators using the method of moments and maximum likelihood. You will get to understand how to decide between them.

  • The best thing about this course is its focus on explaining how to quantify uncertainty using confidence intervals and hypothesis testing as well.
  • This course has been designed for all those individuals out there who wish to learn to make prediction using linear, nonlinear, and generalized linear models.

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Introduction to Statistics

      • Stanford via Coursera
      • 98,786+ already enrolled!
      • ★★★★★ (741 Ratings)

Introduction to Statistics

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

In this class, you will get to understand all the statistical thinking concepts in detail. These concepts play a vital part in learning from data and communicating insights.

  • The best thing about this class is its focus on explaining how to perform exploratory data analysis and explaining the key principles of sampling.
  • This course is best for those who are interested in gaining the foundational skills to prepare themselves for the advanced statistical topics.
I wouldn’t lie this was not an easy course for me as I had no previous background in statistics. But would say the content of the course was really well explained. And now that I have completed this course, my interest in statistics has increased even more and I am ready to learn more about statistics. (Mezzanatto R, ★★★★★)

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Statistics and R

      • Harvard via edX
      • 376,800+ already enrolled!
      • 4 weeks (2-4 hours/week) of effort required!

Statistics and R

This is a type of course that will first give you an introduction to the basic statistical concepts and help you understand the R programming skills required for analyzing data in life sciences.

  • The reason why we chose this course is its focus on explaining all about the random variables and what exploratory data analysis is.
  • This course is suitable for those who wish to understand what non-parametric statistics is and all other concepts involved in statistics and R.

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Inferential Statistical Analysis with Python

      • University of Michigan via Coursera
      • 32,173+ already enrolled!
      • ★★★★★ (768 Ratings)

Inferential Statistical Analysis with Python

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

In this engaging course, you will be taught how to determine assumptions which are required to calculate confidence intervals for population parameters.

  • The best thing about this course is its focus on explaining how inferential procedures can be applied and interpreted step-by-step while analyzing real data.
  • This course is for those who wish to understand how to run hypothesis tests in Python and then interpret the results.
The instructors of this course were very knowledgeable and I can say Professor West deserves special appreciation. The last section of the course was very insightful and detailed. (Michele B, ★★★★★)

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Fitting Statistical Models to Data with Python

      • University of Michigan via Coursera
      • 25,870+ already enrolled!
      • ★★★★☆ (587 Ratings)

Fitting Statistical Models to Data with Python

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

This class aims to help learners explore the statistical inference techniques by focusing on the science and art of fitting statistical models to data.

  • The reason why we chose this class is its focus on exploring the various statistical modeling techniques.
  • This class is for those who wish to understand the relationship between variables and generating predictions for future observations.
I enjoyed learning from this course, the lectures were quite engaging and the professor’s way of speaking and teaching style is what kept me interested. (Jafed E, ★★★★★)

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Statistical Thinking for Data Science and Analytics

      • Columbia University via edX
      • 212,738+ already enrolled!
      • 5 weeks (7-10 hours/week) of effort required!

Statistical Thinking for Data Science and Analytics

This “Statistical Thinking for Data Science and Analytics” class aims to help you learn how statistics play a vital part in the data science approach. Here you will understand all about data collection, data analysis, and inference in detail.

  • The best thing about this class is its focus on explaining how to use Bayesian modeling and inference for forecasting public opinion.
  • This class is for all those interested in understanding the basics of linear regression. Those who wish to understand how to judge the event probability can also join this class.

Coursera Plus CoursesMore Best Statistics Courses with Certificates

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Methods and Statistics in Social Sciences Specialization

      • University of Amsterdam via Coursera
      • 78,379+ already enrolled!
      • ★★★★★ (3,659 Ratings)

Methods and Statistics in Social Sciences Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

This engaging yet challenging specialization is going to help you identify the very interesting questions and analyzing data sets in detail.

    • The best thing about this specialization is its focus on explaining how to interpret results correctly to make solid and evidence-based decisions.
    • This specialization is for those who wish to understand all about the design and statistical analysis for social science research questions.
All the courses in the specialization turned out to be very engaging and exactly what I was hoping for. Was able to learn all about statistics through this specialization. (Anonymous Learner, ★★★★★)

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Making Sense of Data in the Media

      • University of Sheffield via Futurelearn
      • 14,513+ already enrolled!
      • ★★★★★ (40 Ratings)

Making Sense of Data in the Media

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

This highly informative class will help you discover how to not only read but understand the data in the media. With that, you will learn to spot fake news that is based on misleading statistics.

  • The best thing about this class is its focus on explaining how to recognize the size of numbers being reported in the media.
  • This class is for those who wish to understand how to report change and risk and how social statistics are created.
I have found this course to be extremely helpful and informational and most of all easy to understand. I don’t have much experience in this field yet this course helped me understand so much about how to work with data and statistics. The content was no doubt very interesting and easily applied to our daily life. (Laura S, ★★★★★)

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Advanced Statistics for Data Science Specialization

      • John Hopkins University via Coursera
      • 12,540+ already enrolled!
      • ★★★★☆ (146 Ratings)

Advanced Statistics for Data Science Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

This “Advanced Statistics for Data Science Specialization” aims to help learners understand all about probability, expectations, and conditional probabilities in detail. With that, you will get to understand all about distributions, confidence intervals, and bootstrapping.

  • The reason why we chose this specialization is its focus on explaining all about the matrix algebra of linear regression models.
  • This specialization is suitable for all those individuals out there who wish to learn all about the canonical examples of the linear models.
This specialization has everything you need to understand even the advanced statistical concepts. I can definitely recommend this specialization to all those who are struggling with understanding statistics concepts. (Anonymous Learner, ★★★★★)

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Business Statistics and Analysis Specialization

      • RICE via Coursera
      • 65,820+ already enrolled!
      • ★★★★★ (6,515 Ratings)

Business Statistics and Analysis Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

This is a very engaging specialization where you will get to develop data analysis and business modeling skills. Here you will gain the ability to apply statistics and data analysis tools in a variety of applications.

  • The best thing about this specialization is its focus on explaining how you can master the essential spreadsheet functions and build descriptive business data measures.
  • This specialization as we believe is suitable for all those who are interested in exploring the basic probability concepts and the linear regression model.
This specialization is the most convenient and engaging way to understand business statistics. The courses in the specialization are equally competitive and has unique content to share. (Anonymous learner, ★★★★★)

Programming Courses
100+ Courses
★★★★★

Cybersecurity courses
30+ Courses
★★★★★

Business Courses
70+ Courses
★★★★☆

Blockchain Courses
20+ Courses
★★★★★

Data Science Courses
150+ Courses
★★★★★

Mobile App Development Courses
50+ Courses
★★★★★

Final Thoughts

To all those individuals who wish to understand statistics from the comfort of their home. This list of 10 Best Free Statistics Courses with Certificates has everything you need to get started with statistics. So enroll in a course today and never stop learning.