Best Online Course For Statistics, with the introduction of Deep Learning and Neural Networks, statistics, number crunching, and data science are essential skills.

For newcomers, working with large data sets and making significant inferences might be intimidating.

However, if you refer to the popular Statistics courses from the greatest teachers listed below, you can have fun with numbers.

**1. Intro to Statisticsâ€“ Udacity**

This course for beginners is absolutely free and covers data visualization, probability, and many basic statistical concepts such as regression, hypothesis testing, and more.

This course also covers data visualization and relationships, Bayes Rule and Correlation vs Causation, Maximum Likelihood estimate, mean, median, and mode, statistical inference, and regression analysis.

**2. Introduction to Statisticsâ€“ Coursera**

Auditing this course is completely free. That means you have free access to the whole course material.

Descriptive statistics, sampling and randomized controlled experiments, probability, sampling distributions, and the central limit theorem, regression, common tests of significance, resampling, and multiple comparisons are all covered in this course.

Overall, this course is useful for brushing up on the fundamentals.

**3. Intro to Inferential Statisticsâ€“ Udacity**

This is a completely free statistics course. This course will teach you how to use sample statistics, hypothesis testing and confidence intervals, t-tests and ANOVA, correlation and regression, and the chi-squared test to estimate population parameters.

This course is presented by professionals in the business, and you will learn through numerous activities.

**4. Intro to Descriptive Statisticsâ€“ Udacity**

This is Udacity’s third free statistics course. This course will teach you the fundamental vocabulary and principles of statistics.

Also learn how to calculate and evaluate variables such as Mean, Median, Mode, Sample, Population, and Standard Deviation.

You’ll also learn how to utilize bar graphs, histograms, box plots, and other common visualizations to explore data. Also, as to how to use distributions to produce probabilistic data predictions.

**5. Bayesian Statistics: From Concept to Data Analysisâ€“ Coursera**

This is another free-to-audit statistics course. The basics of probability and Bayes’ theorem are covered in this course.

The book then goes through statistical reasoning from both a frequentist and a Bayesian standpoint.

After that, you’ll learn how to choose prior distributions and create discrete data models. Finally, for continuous data, this course covers conjugate and objective Bayesian analysis.

**6. Introduction to Bayesian Statisticsâ€“ Udemy**

This is a completely free statistics course. You will learn Bayesian statistics from the ground up in this course.

You’ll also learn about conditional probability, subjective approaches to probability, and how to represent probability problems using Venn and Tree diagrams.

**7. Statistics literacy for non-statisticiansâ€“ Udemy**

This free course will teach you the fundamentals of statistics, such as p-value, ANOVA, variance, and so on.

This is not an advanced course, and it does not cover the math of the analyses or the software used to do them.

And you’ll just get a high-level review of the most significant statistical techniques.

**8. Statistics and probabilityâ€“ Khan Academy**

Basic probability and distributions are covered, as well as more advanced concepts like inference and ANOVA models.

After reading an Introductory Statistics book like Bayesian Statistics the Fun Way, which is more theoretical and has less code, this course is the perfect next step.

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The majority of Khan Academy courses include short, entertaining videos with quizzes. Points are awarded in quizzes. These quizzes can assist you in assessing your statistical understanding.