After researching through all the platforms and consulting statistics enthusiasts, we have bought a list of the best online statistics courses tailored to your needs.
The list covers all the platforms and universities that offer the best courses for statistics. Also, you will find paid as well as free courses and choose the one that best fits you.
Besides, you can consider if you want to go with a short duration course or a micro masters course. We have put the ratings of the courses acquired by surveying and from course takers for your ease of choice.
What’s more? Let’s dive deep into all the courses and choose the best one for you according to your requirements.
Top Online Statistics Course: In a Nutshell (2025)
Here are the top 10 picks for online statistics courses!
| Sr. No. | Course | Price |
| 1. | Introduction to Statistics | Free |
| 2. | Statistics for Data Science and Business Analysis | $84.99 |
| 3. | Become a Probability & Statistics Master | $199.99 |
| 4. | Data Analysis with R specialization | Free |
| 5. | Practical Statistics | $399 |
| 6. | Everyday Statistics, with Eddie Davila | Free |
| 7. | Statistical Thinking for Data Science and Analysis | Free |
| 8. | Data Analysis and Fundamental Statistics | Free |
| 9. | MicroMasters program in Statistics and Data Science | $1,500 |
| 10. | Advanced Statistics For Data Science Specialization | Free |
| 11. | Bayesian Statistics: From Concept to Data Analysis | Free |
| 12. | Statistics: Unlocking the World of Data edx | Free |
| 13. | Statistical Inference and Modeling for High-throughput Experiments | Free |
| 14. | Statistics for Marketing | Free |
| 15. | Statistics for Finance | $69.99 |
Let’s take a deeper look at all the courses mentioned in the above table.
1. Introduction to Statistics
Stanford University offers this course for Beginner level students. The course will require approx 15 hours to complete. You can complete this course at your own pace as it has flexible deadlines.
The instructor, Guenther Walther, explained the statistical concepts essential for data learning and communicating insights. The course will help you understand sampling, suitable tests for various contexts, and data analysis.
Also, topics such as descriptive statistics, Probability, Sampling and Randomized Controlled Experiments, Sampling Distributions and the Central Limit Theorem, Common Tests of Significance, Regression and Resampling, and Multiple Comparisons are included in the syllabus.
Moreover, the course will prepare you with the foundational skills to advance in statistical thinking and machine learning.
Course Syllabus:
- Exploring data with the help of descriptive statistics.
- Producing sampling and data
- Probability interpretation
- Binomial distribution and normal approximation
- Working on sampling distribution and central limit theorem
- Regression
Price: Free (Audit)
Ratings: 4.5/5
2. Statistics for Data Science and Business Analysis
The course is created by 365 Careers and its team for beginners and intermediates. The course will last around 5 hours.
The course will help you to understand the fundamentals of statistics deeply. Also, you will learn to plot and work with different data types. Besides, you will be able to calculate and measure central tendency, variability, and asymmetry.
Moreover, the course will help you understand data science basics with Python and R. The course will help you with regression analysis as well as its mechanics.
Course Syllabus:
- Difference between sample and population
- Descriptive statistics and its fundamentals.
- Central tendency, asymmetry, variability, and their measures.
- Understanding distributions
- Estimates and estimators
- Calculating and working with confidence intervals
- Inferential statistics
- Hypothesis testing
Price: $84.99 USD (You will be easily able to get seasonal discounts)
Ratings: 4.5/5
3. Become a Probability & Statistics Master
Krista King created this course for intermediates and beginners. The syllabus consists of 10 sections and 141 lectures that will last around 15 hours.
The course will help you with visualizing data and analyzing it. Also, you will learn to work with data distributions, discrete variables, hypothesis testing, and regression.
Before you begin the course, you must at least be comfortable with introductory algebra and simple equations. Moreover, you will have notes, quizzes, and workbooks in different sections to work with.
Above all, in the end, you will get lifetime access as a statistics and probability master. Also, you will get a certificate of completion and Q&A support.
Course Syllabus:
- Data Visualizing
- Data Analyzing
- Distribution of data
- Independent and dependent probability
- Random Variables
- Data sampling and hypothesis testing
- Regression and its understanding
Price: $199.99 USD (You can avail of some discounts)
Ratings: 4.7/5
4. Data Analysis with R specialization
This is a specialization consisting of 3 basic courses. Duke University offers this course for beginners. The course will take approximately 5 months to complete. You can complete the course at your own pace as there are flexible deadlines in the course.
The specialization consists of hands-on projects, quizzes, etc. Once you complete the course, you will get acquainted with statistics, R programming, Rstudio, Exploratory data analysis, linear regression, etc.
Besides, you can complete one or any introductory courses from the specialization. Moreover, you will be easily able to visualize data and analyze it.
Course syllabus:
- Introduction to data with R and probability
- Inferential statistics
- Modeling and linear regression
Price: Free (Audit)
Ratings: 4.7/5
5. Statistics for Data Analysis
This course focuses on Statistics used in Data Analysis with multiple industry-leading skills divided into 8 courses. All courses take you from basic learning to advanced, in-depth knowledge step-by-step.
This specialization also provides program certification, unlimited access to the learning catalog, and much more with the monthly subscription plan.
However, learners are required to have prior knowledge of Basic Python, Basic arithmetic, and Elementary algebra in order to scale up with the skills mentioned below.
Course Syllabus:
- Data Types
- Measures of Center
- Notation
- Measures of Spread
- Shape and Outliers
- Binomial Distributionn
- Bayes Rule
- Conditional Probability
- Hypothesis testing and A/B Tests
- Sampling Distributions and the Central Limit Theorem
Price: $249 USD/month
Ratings: 4.6/5
6. Everyday Statistics, with Eddie Davila
The course is excellent for beginners as well as intermediates. You will have access to 1 chapter quiz and a completion certificate.
Moreover, the instructor, Eddie Davila, did a great job explaining the core of statistics. You can also access the course on your tablet and phone.
Above all, the course covers all the necessary fundamental concepts of statistics and its details.
Course Syllabus:
- Basic Statistics
- Statistics in everyday life
Price: Free (1 month free Linkedin trial)
Ratings:4.4/5
7. Statistical Thinking for Data Science and Analysis
Columbia University offers this course for beginners and intermediates. The course can be completed with flexible deadlines as it is self-paced. You will require around five weeks to complete the course, considering 7 to 10 hours per week.
The course will help you to understand data collection and its analysis, conditional probabilities, and the basics of linear regression. Also, you will study data visualization and its detailed creation.
Course Syllabus:
- Data science and introduction
- Statistical thinking and introduction to probability and statistical interference
- Liner Regression and Special models of regression
- Visualization with the help of a graph
- Bayesian model and big data
Price: Free
Ratings: 4.3/5
8. Data Analysis and Fundamental Statistics
The course introduces fundamental data analysis, statistical models, and functions to gain insights into your business. You will require approximately four weeks to complete, considering you spend 4 hours/ week.
Besides, you will receive a certificate of completion at the end of the course. Also, you will be able to identify and articulate data analysis and its fundamentals.
Above all, the course is excellent for acquiring analytical skills and understanding the basics of statistics. You will also get insights into the Excel formula syntax.
Course contents:
- Data Analysis
- Process for data-driven decision-making and tools
- Fundamental statistics
- Application of statistical techniques
Price: Free (7-day free trial on the platform)
Ratings: 4.2/5
9. MicroMasters Program In Statistics and Data Science
The Massachusetts Institute of Technology offers the course as a Micro Master course for graduate-level students. The course will last up to 1 year and two months considering 10- 14 hours per week.
Besides, it is an instructor-led course and doesn’t have flexible deadlines. You will receive a certification at the end of the course.
Moreover, the course follows the credit system. The course will help you to master the foundations of statistics, data science, and machine learning.
Above all, after finishing this course, you will be ready for jobs such as data scientist, data analyst, business intelligence analyst, etc.
Course Syllabus:
- Probability
- Statistics and its Fundamentals
- Linear models in machine learning and deep learning
- Data analysis
Price: $1,500 USD
Ratings: 4.7/5
10. Advanced Statistics For Data Science Specialization
It is a specialization course on Statistics offered by Coursera. This specialization is for those who already know Linear Algebra and basic Calculus. If you don’t, then you may not understand the concepts of this specialization’s courses. In the courses, you will learn about the fundamental concepts of statistics and probability.
You will learn about conditional probabilities, confidence intervals, expectations, binomial proportions, bootstrapping, and more. These courses will help you understand every about matrix algebra for linear regression models.
After finishing this specialization, you will gain skills like Statistics, Biostatistics, R Programming, Linear Algebra, Confidence Interval, Linear Regression, and Statistical Hypothesis Testing.
Course Syllabus:
- Mathematical Biostatistics Boot Camp 1 and 2
- Linear Models Explaining Least Squares
- Linear Models Explaining Statistics
Price:
- Audit Track – Free
- Verified Track – $79 USD
Ratings: 4.3/5
11. Bayesian Statistics: From Concept to Data Analysis
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data.
It is a part of the Bayesian Statistics Specialization, which is intended for all learners seeking to develop proficiency in statistics, Bayesian statistics, Bayesian inference, and R programming.
The course mainly focuses on theory. It compares the Bayesian approach to the more commonly taught Frequentist approach.
The modules also provide insights into basic mathematical development and the explanations of philosophy and interpretation.
This is definitely an excellent course with some good hands-on exercises in both R and Excel.
Course Syllabus:
- Probability and Bayes’ Theorem
- Statistical Inference
- Priors and Models for Discrete Data
- Models for Continuous Data
Price: Free
Ratings: 4.6/5
12. Statistics: Unlocking the World of Data
Next, the Unlocking the World of Data course on edX introduces the key principles of statistics and the ability to analyze and interpret data that underpins modern society.
It is designed for learners without previous knowledge of statistics, although familiarity with secondary school mathematics is advisable. You will understand the key principles of statistics as well as how to perform simple statistical analysis.
The course includes interactive quizzes, readings, and graded assessments to create an active learning experience.
This is an excellent starting point if you want to develop statistics and data analysis proficiency.
It is also a good fit for professionals wishing to turn large data volumes into actionable insights.
Course Syllabus:
- Introducing Data
- Patterns in Data
- Collecting Data
- Uncertainty in Data
- Distribution
- Estimation
- Statistical Testing
- Further Statistical Testing
Price:
- Verified Track – $49 USD
- Audit Track – Free
Ratings: 4.7/5
13. Statistical Inference and Modeling for High-throughput Experiments
In this course, you will be covered with the various statistical topics like multiple testing problems, error dates, false discovery rates, and exploratory data analysis.
The modules cover a comprehensive introduction to statistical modeling and how you can apply it to high-throughput data.
It also discusses parametric distributions like exponential, binomial, and gamma.
The course is divided into a series of seven parts per students’ prior knowledge. If you are a statistician, you can simply skip the first two modules of the introduction.
Course Syllabus:
- Data Analysis for Life Sciences:
- Genomics Data Analysis:
Price:
- Basic course – FREE
- Upgrade to Advanced course – $219 USD.
Ratings: 4.6/5
14. Statistics for Marketing
Statistics for Marketing on Coursera talks about the statistical foundation on which marketing analytics is built.
Here, you will understand your dataset and what the data actually means. The course dives deep into sampling, like how to ask specific questions about your data and how to analyze it to answer these questions.
The instructor provides these concepts tied to real-world cases, which makes the course more practical.
This course is worth considering if you want to learn the basics of descriptive and infernal statistics and analytics in marketing.
Course Syllabus:
- Descriptive Statistics
- Making Predictions with Inferential Statistics
- Designing Experiments and Testing Hypotheses
- Data Modeling
- Using Statistics in Real-World Settings
Price: Free
Ratings: 4.8/5
15. Statistics for Finance
Last but not least, Statistics for Finance is a comprehensive course that covers core statistics and finance and business applications.
This course provides a detailed foundation for analysis in all areas of finance. This course covers everything from the basics of high school math to the forefront of quantitative and computational tools for financial modeling.
It will walk you through the complete statistics concepts like hypothesis testing, confidence intervals, and various modern statistical methods.
The course is specifically designed for finance students, working professionals who want to level up their statistics skills and who want to learn statistics with a focus on applications.
Course Syllabus:
- Financial Data
- Distribution
- Standard Distributions
- Transformations Sampling
- Statistical Inference
- Exploratory Data Analysis
- Univariate Modeling
Price: $69.99 USD
Ratings: 4.8/5
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Final Verdict: Best Online Statistics Course (2025)
That’s all with the best online statistics courses. Go ahead and start learning statistics with the best tutors out there.
If you are still confused about which one to choose, here are our top recommendations:
- Introduction to Statistics
It is a short and great course for beginners as well as intermediates. It will add significant value to your profile and help you understand the basics of statistics and its related concepts.
- MicroMasters program in Statistics and Data Science
This course is excellent if you look forward to your career as an Analyst. You can lay a great foundation of statistics and add tremendous value to your profile.
Have great learning! Also, remember to share which course you liked and the one that suited you best, in the comments section.
FAQs
Which is the best statistics course online?
You can check out the above article, which provides you with a list of the best online statistics courses.
Can you learn statistics online?
Yes, you can learn statistics online with the help of courses available on various platforms such as Coursera, Udemy, Udacity, Linkedin Learning, edX, etc.
Do I need to know statistics to be a data analyst?
Yes, you will need to know statistics to be a data analyst. Statistics and probability are the basic and essential requirements of a data analyst.
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