9 Best Statistics Courses [2021 OCTOBER][UPDATED]

Best statistics course tutorial class certification training online

After conducting in-depth research, our team of 25+ experts compiled this list of Best Eight Statistics Courses, Classes, Tutorials, Training, and Certification programs available online for 2021. This list includes both free and paid courses to help you learn business statistics. Also, it is ideal for beginners, intermediates, and expert individuals.


9 Best Statistics Courses & Classes [2021 OCTOBER]

1. Top Statistics Courses (Udemy)

Statistics is one of the essential skills for data scientists, analysts, and software developers. If you’re also interested in learning statistics, this list of classes is a great option. Created by professional instructors of Udemy, these courses can help you learn how to work with different types of data, understand the fundamentals of statistics, and plot different types of data. Enrolling in some popular courses like Become a Probability & Statistics Master will help you learn about visualizing data, analyzing data, and data distributions. After finishing each lesson with the given projects, you’ll earn a digital certificate to showcase your skills.


Key USPs – 

– Learn about different types of statistics you need in your offices, such as descriptive and inferential statistics, hypothesis testing, and regression analysis

– Learn how to visualize data with bar graphs, pie charts, Venn diagrams, histograms, and dot plots while gaining deeper insights into data

– Master the basics of statistics for data science and data analytics, descriptive statistics, probability theory, and machine learning methods like decision trees

– Learn to apply the concepts of probability to tricky business applications, R programming for statistical computing, and much more


Duration: Variable

Rating: 4.7 out of 5

You can Sign up Here



2. Basic Statistics by the University of Amsterdam (Coursera)

Individuals who want to understand research in the social and behavioral sciences first need to understand statistics. This introductory course from Coursera will guide you to the basics of statistics, as well as prepare you for more progressive concepts in statistics. During the course, you will learn about the methods of descriptive statistics, what variables and cases are, and how to calculate measures of central tendencies, such as mean, median, and mode. The course is included with multiple video lectures, graded assignments, and hands-on exercises to help you better learn the topics. After finishing the course, you will also receive a certificate of completion from the University of Amsterdam.


Key USPs –

– Created by expert faculty members of the University of Amsterdam, who will assist you during the course via video sessions

– Learn how to access relationships between variables, and get introduced to the concepts of correlation and regression

– Get to know the basics of probability, such as how to calculate probabilities, probability distributions, and sampling distributions

– Learn about methods of inferential statistics that will help you decide whether the patterns you see in data are strong enough for drawing conclusions

– Get trained in calculating and generating statistics by yourself by using freely available statistics software


Duration: 8 weeks, 3-6 hours/week

Rating: 4.7 out of 5

You can Sign up Here


Review: This course is really awesome. Designed well. Looks like a lot of efforts have been taken by the team to build this course. Kudos to everyone. Keep up the good work, and thank you very much. – CD



3. Statistics with R by Duke University (Coursera)

This is a specialization program in Statistics that consists of five different courses, each of which will guide you to various concepts of Statistics. Enrolling in this program will help you learn how to analyze and visualize data in R for creating reproducible data analysis reports, how to achieve frequentist and Bayesian statistical implications, and demonstrations to comprehend natural singularities and make data-based decisions. The program is included with various descriptive video lectures, live-sessions with instructors, interactive quizzes, and much more to help you get a better understanding of using R for Statistics. Once you complete a course, you will receive a certificate of completion signed by Duke University. Check out our compilation of Best R Programming Courses.


Key USPs –

–  Designed by expert instructors of Duke University who have years of experience in providing Statistical training to various individuals

– Learn how to demonstrate a conceptual understanding of the unified nature of statistical inference and communicate analytical results correctly

– Understand how to critique data-based claims and evaluate data-based decisions, and visualize data with R packages for data analysis

– Produce a portfolio of data analysis projects after completing the specialization to demonstrate mastery of statistical data analysis


Duration: 7 months, 5 hours/week

Rating: 4.6 out of 5

You can Sign up Here



4. Statistics and Data Science by MITx (edX)

This is a MicroMaster program designed by expert instructors of MITx to help you get the foundational knowledge of statistics and data science. Taking this course will help you get a clear understanding of methods and tools used in data science, as well as provide you with hands-on training in data analysis and machine learning. It consists of four different courses that will take you through the fundamentals of probability and statistics, and help you learn, implement, and experiment with data analysis techniques and machine learning algorithms. After finishing the program, you will get a professional certificate that can be used to showcase your skills.


Key USPs –

– Train yourself to become an informed and competent practitioner of data science who can add value to its organization

– Study how to examine big data and make data-driven predictions via probabilistic modeling and statistical inference

– Learn how to identify and deploy appropriate modeling and methodologies for extracting meaningful information for decision making

– Understand the process of developing and building machine learning algorithms for extracting useful information from unstructured data

– Get a clear understanding of unsupervised learning methods, such as clustering methodologies, deep neural networks, and many more

– Become a successful data scientist, data analyst, data engineer, or system analyst after completing the course


Duration: 1 year, 3 months

Rating: 4.4 out of 5

You can Sign up Here



5. Statistics for Data Science and Business Analytics (Udemy)

Individuals who want to start their career as a Business analyst, Marketing analyst, or Data analyst can take help from this course. Taking this course will help you gain the fundamental skills that you need to understand the most complicated statistical analysis. The course is designed by expert instructors of 365 Careers, who have trained more than 10,000 students in statistics for data science all across the world. It is included with high-quality videos and animations, complete training, and extensive case studies that are designed to help you understand the topics more clearly. Moreover, you will get continuous support from a team of experts during the course.


Key USPs –

– A comprehensive, easy to understand, practical, to the point course that is packed with plenty of exercises and resources

– Cover all the major statistical topics and skills that you need to become a marketing analyst, a business intelligence analyst, or data scientist

– Get introduced to mathematical, scientific jargon, data visualization, quant research, and data-driven approaches

– Learn how to calculate the measures of central tendency, asymmetry, and variability, as well as how to work with different types of distributions

– Freedom to study from your home with 30-days free trial of the course


Duration: 4-5 hours

Rating: 4.5 out of 5

You can Sign up Here


Review: Some of the excel work/formulas were difficult to follow. It would be helpful to include the formulas in the solutions file. Otherwise, the course was great. – Jerilyn Smith



6. Statistics and Probability (Khan Academy)

This statistics and probability course is amongst one of the best programs available online. Designed by expert instructors of Khan Academy, it consists of various topics, such as analyzing categorical data, displaying and comparing quantitative data, exploring bivariate numerical data, study design, and many more. Enrolling in this course will help you get equipped with the latest trends, tips, and knowledge of Statistics so that you can implement them in real life quickly. Each course is divided into mastery points that will define your learning skills after each section. Also, you will get support from a team of experts if you face any issues during the course.


Key USPs –

– A comprehensive course specially designed for individuals who want to improve their statistics and probability knowledge

– Learn how to analyze categorical data, display quantitative data with graphs, compare distributions, and summarize that quantitative data

– Know about modeling data distributions, such as percentiles, Z-scores, density curves, normal distribution calculations, etc.

– Get introduced to scatterplots, least-squares regression equations, correlation coefficients, trend lines, and much more

– Comes with various video lectures, quizzes, exercises, and hands-on exercises to improve your overall knowledge

– Completely free to enroll with the freedom to study from your comfort zone


Duration: Variable

Rating: 4.4 out of 5

You can Sign up Here



7. Become a Probability and Statistics Master (Udemy)

Consisting of 163 lessons, this course will help you master the probability and statistics concepts that you need to become a successful data analyst or data engineer. Taking this course will help you learn how to visualize data, including bar graphs, Venn diagrams, pie charts, histograms, and dot plots, how to analyze data, including mean, median, and mode, as well as how to distribute data, such as mean, variance, and standard deviation. After finishing this course, you will be very well equipped with all the significant concepts of statistics that are required to become a successful data analyst or data engineer.


Key USPs –

– Cover different concepts of probability, including union vs. intersection and independent and dependent events and Bayes’ theorem

– Learn about Hypothesis testing, including significance levels, inferential statistics, type I and II errors, and p-values

– Understand regression models clearly, including correlation coefficient, RMSE, scatterplots, chi-square, and coefficient of determination

– Included with videos and text explanations of everything from probability and statistics, and 45 quizzes to help you test your understanding

– Get lifetime access to the course content with 30-days money-back guarantee and freedom to study from your comfort zone


Duration: 11-12 hours

Rating: 4.6 out of 5

You can Sign up Here


Review: Very good course, I liked how it was structured, and the instructor explains the content very well. – Salah-Eddine Bouzdouz



8. Probability and Statistics Courses (Coursera)

Coursera offers a variety of probability and statistics courses that are created by top-rated universities across the globe, such as Duke University, the University of Amsterdam, Illinois University, Johns Hopkins University, etc. Enrolling in these courses will help you learn the skills that you need to understand meaningful data, including inference, optimization, testing, and other methods for analyzing patterns in data. Amongst the list, some of the top-rated courses are Basic Statistics, R Programming, Business Statistics and Analysis, Exploratory data analysis, and many more. Each of these courses also includes a certificate of completion that you will receive after finishing the course.


Key USPs –

– An extensive list of courses designed to help you learn and understand the basics as well as the most significant concepts of probability and statistics

– Get guidance from the top faculty members of various recognized universities who designed the courses

– Each course is formatted in the simplest and easiest manner so that users don’t face any troubles while learning

– Get access to video lectures, live video sessions, interactive quizzes, graded assignments, and feedback forums to help yourself get a better understanding of concepts

– Easy to access and study with the 10-days free trial with each course


Duration: Variable

Rating: 4.4 out of 5

You can Sign up Here



9. Statistics Courses (edX)

edX is another reliable online e-learning platform that gives you access to multiple statistics courses. What’s more interesting is that these courses are also designed by well-reputed universities and institutions around the world, such as Stanford University, IIMBx, SNUx, MITx, and UBC. Each of these courses will provide you knowledge related to a specific concept of business statistics. Amongst the list, the highest-rated courses are Statistical Learning, Introductory Statistics: Analyzing Data, Probability and Statistics in Data Science, and the Science of Uncertainty and Data. Once you complete all these courses, you will be able to start your career as a Data Analyst, System Analyst, Data Scientist, or Business Intelligence Analyst.


Key USPs –

– Get access to multiple free Statistics and probability courses that will help you gain a strong understanding of various concepts included in it

– Learn from the industry professionals and instructors who are teaching at some of the top-rated universities and institutions in the world

– Cover the most advanced and complicated concepts of statistics that you need to grow your business

– Each course is included with graded assignments, rich learning content, feedback forums, video lectures, quizzes, and hands-on exercises to help you practice your learning skills


Duration: Variable

Rating: 4.4 out of 5

You can Sign up Here


So these were the Best Statistics Courses & Certifications available online for 2021. We hope you found what you were looking for. We wish you Happy Learning!