Data science courses

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

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

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

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

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

Learn to use the Bioconductor package limma for differential gene expression analysis.

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

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

In this course youll learn how to use data science for several common marketing tasks.

Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

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

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

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

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

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

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

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

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Learn to analyze, plot, and model multivariate data.

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

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

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

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

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

Learn the fundamentals of valuing stocks.

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