9 Best Free Statistics Online Courses for Data Science in 2021
For data science, you should have a good understanding of Statistics. That’s why I thought to share the 9 Best Free Online Courses for Statistics with you. These statistics courses will help you to learn statistics free of cost. I have collected these statistics courses from various platforms. And all courses are completely free.
So without any further ado, let’s start finding the Best Free Online Courses for Statistics.
1. Intro to Statistics- Udacity
Time to Complete- 2 Months
This is a completely FREE course for beginners and covers data visualization, probability, and many elementary statistics concepts like regression, hypothesis testing, and more.
In this course, you will also learn visualization and relationships in data, Probability with Bayes Rule and Correlation vs Causation, estimation with Maximum Likelihood, mean, median and mode, statistical inference, and regression analysis.
You Should Enroll if-
- You are a beginner, but it’s good if you have already heard of some easy statistical concepts.
Interested to Enroll?
If yes, then start learning- Intro to Statistics
2. Introduction to Statistics– Coursera
Rating- 4.5/5
Time to Complete-15 hours
Provider- Standford University
This course is Free to Audit. That means you can access the full course material free of cost.
In this course, you will learn the following topics- Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions, and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons.
Overall this course is good for clearing the basics.
You Should Enroll if-
- You are complete beginner. Only basic familiarity with computers and productivity software is required.
Interested to Enroll?
If yes, then start learning- Introduction to Statistics
3. Intro to Inferential Statistics– Udacity
Time to Complete- 2 Months
This is a complete Free course for statistics. In this course, you will learn how to estimate parameters of a population using sample statistics, hypothesis testing and confidence intervals, t-tests and ANOVA, correlation and regression, and chi-squared test.
This course is taught by industry professionals and you will learn by doing various exercises.
You Should Enroll if-
- You have basic understanding of Descriptive Statistics.
Interested to Enroll?
If yes, then start learning- Intro to Inferential Statistics
4. Intro to Descriptive Statistics– Udacity
Time to Complete- 2 Months
This is the third Free statistics course at Udacity. In this course, you will learn the basic terms and concepts of statistics. And how to compute and interpret values like Mean, Median, Mode, Sample, Population, and Standard Deviation.
You will also learn how to explore data through the use of bar graphs, histograms, box plots, and other common visualizations. And how to manipulate distributions to make probabilistic predictions on data.
You Should Enroll if-
- You have understanding of basic algebra and arithmetic.
Interested to Enroll?
If yes, then start learning- Intro to Descriptive Statistics
5. Bayesian Statistics: From Concept to Data Analysis– Coursera
Rating- 4.6/5
Time to Complete- 12 hours
Provider- University of California, Santa Cruz
This is another Free to Audit course for statistics. This course begins with the basics of probability and Bayes’ theorem. Then covers the concepts of statistical inference from both frequentist and Bayesian perspectives.
After that, you will learn methods for selecting prior distributions and building models for discrete data. And in the last, this course covers the conjugate and objective Bayesian analysis for continuous data.
You Should Enroll if-
- You should have prior knowledge of basic statistics class (for example, probability, the Central Limit Theorem, confidence intervals, linear regression) and calculus (integration and differentiation).
Interested to Enroll?
If yes, then start learning- Bayesian Statistics: From Concept to Data Analysis
6. Introduction to Bayesian Statistics– Udemy
Rating- 4.8/5
Time to Complete- 1hr 19min
This is a completely Free course for statistics. In this course, you will learn Bayesian statistics from scratch. Along with that, you will also learn Conditional probability, subjective approaches to probability, and how to use Venn and Tree diagrams to model probability problems.
You Should Enroll if-
- You are beginner and want to understand Bayesian statistics more deeply.
Interested to Enroll?
If yes, then start learning- Introduction to Bayesian Statistics
7. Python and Statistics for Financial Analysis– Coursera
Rating- 4.4/5
Time to Complete- 13 hours
provider– The Hong Kong University of Science and Technology
This is a Free to Audit course by Coursera. This course is a combination of python coding and statistical concepts. Throughout this course, you will learn Visualizing and Munging Stock Data, Random variables and distribution, Sampling and Inference, and Linear Regression Models for Financial Analysis.
And you will also build a model using multiple indices from the global markets and predict the price change of an ETF of S&P500.
You Should Enroll if-
- You have basic knowledge in probability.
Interested to Enroll?
If yes, then start learning- Python and Statistics for Financial Analysis
8. Statistics literacy for non-statisticians– Udemy
Rating- 4.7/5
Time to Complete- 1hr 36min
In this Free course, you will learn the basics of statistics like p-value, ANOVA, variance, etc. This is not an advanced-level course and doesn’t cover the math of the analyses and software to perform statistical analyses. And you will learn only the overviews of the most important statistical methods.
You Should Enroll if-
- You are unfamiliar with statistics but want to learn the basics.
Interested to Enroll?
If yes, then start learning- Statistics literacy for non-statisticians
9. Statistics and probability– Khan Academy
Time to Complete- Less than a month
This course covers basic probability and distributions to more advanced concepts like inference or ANOVA models. This course is the best step after going through an Introductory Statistics book like Bayesian Statistics the Fun Way, which is more theoretical and has less code.
Most of the Khan Academy courses are combined with fun and short videos with quizzes. In quizzes you get points. These quizzes will help you to check your statistical knowledge level.
You Should Enroll if-
- You have some basic understanding of maths.
Interested to Enroll?
If yes, then start learning- Statistics and probability
That’s all!
These are the 9 Best Free Online Courses for Statistics. Now, it’s time to wrap up.
Conclusion
I hope these 9 Best Free Online Courses for Statistics will help you to learn statistics for data science. My aim is to provide you the best resources for Learning. If you have any doubt or questions, feel free to ask me in the comment section.
All the Best!
Happy Learning!
NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.
