Data, AI, and Cloud Courses

• BasicSkill Level
• 4.6+
• 9.2K

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

• IntermediateSkill Level
• 4.5+
• 9.1K

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

• IntermediateSkill Level
• 4.4+
• 4.9K

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

• IntermediateSkill Level
• 4.5+
• 2.9K

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

• IntermediateSkill Level
• 4.6+
• 2.6K

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

• IntermediateSkill Level
• 4.5+
• 2.4K

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

• IntermediateSkill Level
• 4.5+
• 2.2K

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
• 4.5+
• 1.3K

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

• IntermediateSkill Level
• 4.5+
• 1.2K

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

• IntermediateSkill Level
• 4.4+
• 1.2K

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

• IntermediateSkill Level
• 4.4+
• 1.1K

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.

• IntermediateSkill Level
• 4.4+
• 1K

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

• BasicSkill Level
• 4.4+
• 921

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

• IntermediateSkill Level
• 4.4+
• 889

Master sampling to get more accurate statistics with less data.

• IntermediateSkill Level
• 4.3+
• 819

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

• IntermediateSkill Level
• 4.6+
• 801

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

• BasicSkill Level
• 4.6+
• 718

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

• IntermediateSkill Level
• 4.5+
• 692

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

• IntermediateSkill Level
• 4.4+
• 634

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

• IntermediateSkill Level
• 4.6+
• 582

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

• BasicSkill Level
• 4.3+
• 577

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

• IntermediateSkill Level
• 4.6+
• 576

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

• IntermediateSkill Level
• 4.5+
• 552

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
• 4.6+
• 542

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

• IntermediateSkill Level
• 4.7+
• 479

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

• IntermediateSkill Level
• 4.4+
• 477

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

• IntermediateSkill Level
• 4.6+
• 447

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
• 4.7+
• 444

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

• AdvancedSkill Level
• 4.7+
• 427

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

• IntermediateSkill Level
• 4.4+
• 369

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