Data science courses

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Learn all about how DataCamp builds the best platform to learn and teach data skills.

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

This course will show you how to combine and merge datasets with data.table.

Learn how to design Power BI visualizations and reports with users in mind.

Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

Learn the bag of words technique for text mining with R.

Learn to easily summarize and manipulate lists using the purrr package.

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Learn to analyze, plot, and model multivariate data.

In this course youll learn how to apply machine learning in the HR domain.

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Are you curious about the inner workings of the models that are behind products like Google Translate?

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Learn how to prepare and organize your data for predictive analytics.

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

In this course youll learn techniques for performing statistical inference on numerical data.

You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.