Data science courses

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

Explore HR data analysis in Tableau with this case study.

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

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

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

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

Learn the fundamentals of valuing stocks.

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

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

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

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

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

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

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

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

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

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

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

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

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

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

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

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

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

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

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

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

Learn to process sensitive information with privacy-preserving techniques.

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