Data science courses

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

Learn how to design and implement triggers in SQL Server using real-world examples.

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

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

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

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

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

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.

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.

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

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

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

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

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

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

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

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

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

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

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

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

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

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

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

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

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.

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