Data, AI, and Cloud Courses

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

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

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

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

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

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

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

Explore HR data analysis in Tableau with this case study.

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

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

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

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

Learn to process sensitive information with privacy-preserving techniques.

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

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

Learn to use the Census API to work with demographic and socioeconomic data.

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

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

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

This course will show you how to combine and merge datasets with data.table.

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

Learn the fundamentals of valuing stocks.

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.

Learn to analyze, plot, and model multivariate data.

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

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

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