Data science courses

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

Explore HR data analysis in Tableau with this case study.

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

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

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

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

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

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

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

Learn the fundamentals of valuing stocks.

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

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

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

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.

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

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

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

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

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

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

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

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

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

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

Learn to analyze, plot, and model multivariate data.

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

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