Data, AI, and Cloud Courses

• BasicSkill Level
• 4.6+
• 9.4K

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

• IntermediateSkill Level
• 4.5+
• 9.2K

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

• IntermediateSkill Level
• 4.5+
• 4.8K

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

• IntermediateSkill Level
• 4.5+
• 3.3K

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

• IntermediateSkill Level
• 4.5+
• 3.1K

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

• IntermediateSkill Level
• 4.5+
• 2.6K

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

• IntermediateSkill Level
• 4.5+
• 2.4K

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

• IntermediateSkill Level
• 4.4+
• 1.6K

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

• IntermediateSkill Level
• 4.5+
• 1.4K

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

• IntermediateSkill Level
• 4.7+
• 1.2K

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

• IntermediateSkill Level
• 4.5+
• 1.2K

Learn to perform linear and logistic regression with multiple explanatory variables.

• IntermediateSkill Level
• 4.4+
• 1K

Master sampling to get more accurate statistics with less data.

• IntermediateSkill Level
• 4.5+
• 910

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

• BasicSkill Level
• 4.5+
• 851

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

• IntermediateSkill Level
• 4.6+
• 815

Build the foundation you need to think statistically and to speak the language of your data.

• IntermediateSkill Level
• 4.7+
• 788

Learn to perform linear and logistic regression with multiple explanatory variables.

• IntermediateSkill Level
• 4.3+
• 786

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

• IntermediateSkill Level
• 4.3+
• 641

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

• IntermediateSkill Level
• 4.7+
• 602

Learn the core techniques necessary to extract meaningful insights from time series data.

• AdvancedSkill Level
• 4.5+
• 572

In this course you will learn to fit hierarchical models with random effects.

• BasicSkill Level
• 4.6+
• 546

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

• IntermediateSkill Level
• 4.7+
• 495

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

• IntermediateSkill Level
• 4.5+
• 494

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

• IntermediateSkill Level
• 4.7+
• 481

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

• IntermediateSkill Level
• 4.6+
• 478

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

• IntermediateSkill Level
• 4.5+
• 473

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

• IntermediateSkill Level
• 4.5+
• 459

Learn to design and run your own Monte Carlo simulations using Python!

• IntermediateSkill Level
• 4.3+
• 441

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

• IntermediateSkill Level
• 4.6+
• 432

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

• IntermediateSkill Level
• 4.6+
• 431

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.