Data, AI, and Cloud Courses

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

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

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

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

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.

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

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

Learn to build pipelines that stand the test of time.

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

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

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

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

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

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

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

Learn how to access financial data from local files as well as from internet sources.

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

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

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

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

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

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

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

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

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

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

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

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

Explore HR data analysis in Tableau with this case study.