Data science courses

Learn to solve increasingly complex problems using simulations to generate and analyze data.

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

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

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

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

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

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

This course is for R users who want to get up to speed with Python!

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

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

Use survival analysis to work with time-to-event data and predict survival time.

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

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

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Learn how to visualize time series in R, then practice with a stock-picking case study.

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

In this course you'll learn techniques for performing statistical inference on numerical data.

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

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

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Learn how to tune your model's hyperparameters to get the best predictive results.

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

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

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

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

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

In this course you'll learn how to leverage statistical techniques for working with categorical data.

In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.