Skip to main content
Learn

Data science courses

Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.

  • Learn at your own pace
  • Get hands-on experience
  • Complete bite-sized chapters
Screenshot of project code-along
68 results
Python

Introduction to Statistics in Python

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

Clock4 hoursTagProbability & StatisticsUserMaggie MatsuiLearncourses
Theory

Introduction to Statistics

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

Clock4 hoursTagProbability & StatisticsUserGeorge BoormanLearncourses
R

Introduction to Statistics in R

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

Clock4 hoursTagProbability & StatisticsUserMaggie MatsuiLearncourses
R

Introduction to Regression in R

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

Clock4 hoursTagProbability & StatisticsUserRichie CottonLearncourses
Python

Hypothesis Testing in Python

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

Clock4 hoursTagProbability & StatisticsUserJames ChapmanLearncourses
Python

Introduction to Regression with statsmodels in Python

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

Clock4 hoursTagProbability & StatisticsUserMaarten Van den BroeckLearncourses
Python

Sampling in Python

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

Clock4 hoursTagProbability & StatisticsUserJames ChapmanLearncourses
R

Hypothesis Testing in R

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

Clock4 hoursTagProbability & StatisticsUserRichie CottonLearncourses
R

Intermediate Regression in R

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

Clock4 hoursTagProbability & StatisticsUserRichie CottonLearncourses
Python

Time Series Analysis in Python

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

Clock4 hoursTagProbability & StatisticsUserRob ReiderLearncourses
R

Sampling in R

Master sampling to get more accurate statistics with less data.

Clock4 hoursTagProbability & StatisticsUserRichie CottonLearncourses
Python

Statistical Thinking in Python (Part 1)

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

Clock3 hoursTagProbability & StatisticsUserJustin BoisLearncourses
R

Modeling with Data in the Tidyverse

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

Clock4 hoursTagProbability & StatisticsUserAlbert Y. KimLearncourses
Python

A/B Testing in Python

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.

Clock4 hoursTagProbability & StatisticsUserMoe Lotfy, PhDLearncourses
R

Generalized Linear Models in R

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Clock4 hoursTagProbability & StatisticsUserRichard EricksonLearncourses
Python

Introduction to Linear Modeling in Python

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

Clock4 hoursTagProbability & StatisticsUserJason VestutoLearncourses
R

Time Series Analysis in R

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

Clock4 hoursTagProbability & StatisticsUserDavid S. MattesonLearncourses
Python

Bayesian Data Analysis in Python

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

Clock4 hoursTagProbability & StatisticsUserMichał OleszakLearncourses
Python

Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Clock4 hoursTagProbability & StatisticsUserJustin BoisLearncourses
Python

Monte Carlo Simulations in Python

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

Clock4 hoursTagProbability & StatisticsUserIzzy WeberLearncourses
Python

Anomaly Detection in Python

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

Clock4 hoursTagProbability & StatisticsUserBex TuychiyevLearncourses
Python

Generalized Linear Models in Python

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

Clock5 hoursTagProbability & StatisticsUserIta Cirovic DonevLearncourses
R

Foundations of Inference in R

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

Clock4 hoursTagProbability & StatisticsUserJo HardinLearncourses
Python

Introduction to Statistics in Google Sheets

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

Clock4 hoursTagProbability & StatisticsUserTed KwartlerLearncourses
R

Experimental Design in R

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

Clock4 hoursTagProbability & StatisticsUserJoanne XiongLearncourses
R

Analyzing Survey Data in R

Learn survey design using common design structures followed by visualizing and analyzing survey results.

Clock4 hoursTagProbability & StatisticsUserKelly McConvilleLearncourses
R

Foundations of Probability in R

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

Clock4 hoursTagProbability & StatisticsUserDavid RobinsonLearncourses

technology

topic

FAQs