Home 10 Best + Free Probability Courses with Certificates

# 10 Best + Free Probability Courses with Certificates

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Improve your statistical skills with our list of Best Probability Courses. Offers certificates to validate your skills.

## Key Takeaways

• A chance to master the fundamentals of probability theory.
• Learn to apply probability in real-world scenarios.
• Certified courses give you a chance to enhance your professional profile.

## What are the key outcomes of taking a probability course?

Taking one of the probability courses will help you understand the principles of probability theory. It will allow you to apply statistical methods for solving problems in different fields of finance, science, and engineering.

 # Course Name University/Organization Ratings Duration 1. Introduction to Probability Harvard University ★★★★☆ 4.1 100 Hours 2. An Intuitive Introduction to Probability University of Zurich ★★★★★ 4.8 29 Hours 3. Probability – The Science of Uncertainty and Data MIT — 224 Hours 4. Introduction to Probability and Data with R Duke University ★★★★★ 4.7 14 Hours 5. Become a Probability & Statistics Master Udemy ★★★★★ 4.7 15 Hours 6. Probability and Statistics I: A Gentle Introduction to Probability The Georgia Institute of Technology — 30 Hours 7. Probability Theory Delft University of Technology — 36 Hours 8. Probability and Statistics: Complete Course Udemy ★★★★★ 4.8 17 Hours 9. Probability & Statistics for Machine Learning & Data Science DEEP Learning.AI ★★★★★ 4.6 33 Hours 10. Probability and Statistics for Business and Data Science Udemy ★★★★★ 4.6 05 Hours
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.

## Probability Courses Evaluation & Selection Criteria

We selected each probability course based on academic rigor, feedback from the statistical community, and instructor expertise in statistics.

## Best + Free Probability Courses with Certificates….

### Introduction to Probability

• Harvard University via edX
• ★★★★★ (23 Ratings)

In this class, you will learn in detail what probability is. The instructor will talk about how it is an essential language and set of tools to understand data, randomness, and uncertainty.

• The best thing about this class is its focus on explaining how to make good predictions. You will learn about the story approach to understanding random variables. The instructor will also talk about the methods for finding expected value of a random quality.
• This class is for those who wish to understand how to use conditional probability to approach complicated problems.

### An Intuitive Introduction to Probability

• University of Zurich via Coursera
• ★★★★★ (1,658 Ratings)

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

In this beginner-level course, you will get a basic, intuitive, and practical introduction to Probability Theory.

• The reason why we chose this course is its focus on explaining how to apply Probability Theory in different scenarios. You will also learn about a toolbox of methods to help you deal with uncertainty in your daily life.
• This course is for those who wish to understand all about probability, conditional probability, random variables, and normal distribution.
This was an excellent course that gave me everything I needed to know about probability. The course teaches you a lot about probability without emphasizing math. The instructor also talked about data analysis and interpretation. With less stress on mathematical theory, you can understand probability and develop a great intuitive understanding of the basics. Hats off to the amazing professor for this course. He is probably the most interesting lecturer I ever came across with. (Rose M)

### Probability – The Science of Uncertainty and Data

• MIT via edX
• 224 Hours of Hours Required!

In this engaging class, you will build foundational knowledge of data science and learn all about random processes and the basic elements of statistical inference. You will understand the basic structure and elements of probabilistic models in detail.

• The best thing about this class is its focus on explaining all about random variables, their distributions, means, and variances. You will understand the inference methods and probabilistic calculations as well.
• This class is for those who wish to understand the laws of large numbers and their applications and the random processes.

### Introduction to Probability and Data with R

• Duke University via Coursera
• ★★★★★ (5,542 Ratings)

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

This is a beginner-level course, you will understand all about sampling and exploring data. Here you will learn about the basic probability theory and Bayes’ rule.

• The reason why we chose this course is its focus on discussing the sampling methods and how they methods can impact the scope of inference. You will understand a variety of exploratory data analysis techniques as well.
• This course is for those who wish to understand all about installing and using R and RStudio.
This is a really good course that offers good content. The course has been taught by one of the best instructors Coursera has to offer. Probability is a very difficult subject for many people. But if you take this course, it can become an easy subject to understand. I can say the content was beautifully delivered and easy to digest. Now that I have completed this course, looking forward to do more courses from this instructor. (Rafael A)

### Become a Probability & Statistics Master

• Krista King via Udemy
• ★★★★★ (11,846 Ratings)

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

In this course, you will understand all about visualizing data. This includes bar graphs, pie charts, Venn diagrams, histograms, and dot plots. Here you will understand all about z-scores and discrete random variables including binomial, Bernoulli, Poisson, and geometric random variables.

• The reason why we chose this course is its focus on explaining how to analyze data. You will learn all about mean, median, mode, plus range, IQR, and box-and-whisker plots. The instructor will talk about data distribution including mean, variance, standard deviation, and normal distributions.
• This course is for those who wish to understand all about probability including union vs intersection, Bayes’ Theorem, and more.
I am very satisfied with this course as the course content was very comprehensive and helped me review the concepts I haven’t seen since university. With that, the course also has support notes and a large number of reinforcement exercises to solidify knowledge. It is clear that a lot of effort has been put into this course. (Antonio J)

## Continue with more Free Probability Courses with Certificates…

### Probability and Statistics I: A Gentle Introduction to Probability

• The Georgia Institute of Technology via edX
• 30 Hours of effort Required!

Are you interested in understanding the basic probability concepts? If yes then this course is for you. Here you will understand the underlying probability axioms and learn how to update probabilities via Bayes Rule.

• The reason why we chose this course is its focus on explaining the applications in science and engineering with the goal to enhance modeling and analysis skills for a variety of real-world problems. You will recall Bootcamp lessons based on set theory and calculus.
• This course is for those who wish to understand how to apply elementary probability counting rules including permutations and combinations.

### Probability Theory

• Delft University of Technology via edX
• 36 Hours of effort Required!
• Course Type (Self-Paced)

In this “Probability Theory” class, you will get a detailed introduction to probability theory. You will encounter discrete and continuous random variables and learn understand how to deduce properties of RVs such as expectation and variance.

• The best thing about this class is its focus on helping learners gain insights into when certain RVs appear in a specific context. You will get to simulate some real-life situations for better understanding as well.
• This class is for those who wish to obtain understanding of limiting results such as the Central Limit Theorem.

### Probability and Statistics: Complete Course

• Woody Lewenstein via Udemy
• ★★★★★ (211 Ratings)

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

In this course, you will learn probability and statistics in detail. Here you will get all the content you need to succeed in data science and business.

• The best thing about this course is its focus on explaining what descriptive statistics is. You will understand the probability theory in detail along with Bayesian Statistics.
• This course is for those who wish to understand all about discrete distributions and continuous distributions.
This is a wonderful course that offers in-depth dive into statistics. I really enjoyed the learning process. It offers self-contained material and once you complete the course, you wouldn’t feel like you need additional learning material. (Rahul M)

### Probability & Statistics for Machine Learning & Data Science

• DeepLearning.AI via Coursera
• ★★★★★ (233 Ratings)

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

A beginner-level course in which you will understand and quantify the uncertainty inherent in predictions made by machine learning models.

• The reason why we chose this course is its focus on explaining the properties of commonly used probability distributions in machine learning and data science.
• This course is for those who wish to learn to apply common statistical methods like maximum likelihood estimation (MLE) and maximum priori estimation (MAP) to machine learning problems.
This is an extraordinary course that offers clear explanations and animation videos. Before taking this course, I knew what probability and statistics is. But I forgot majority of the concepts so thanks to this course I was able to refresh a lot about probability and learned so many new concepts as well. (Nghla P)

### Probability and Statistics for Business and Data Science

• Jose Portilla via Udemy