Data, AI, and Cloud Courses

In this course youll learn techniques for performing statistical inference on numerical data.

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

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

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

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

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

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

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

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

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

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

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

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

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

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

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

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

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.

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

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

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

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

Learn to process sensitive information with privacy-preserving techniques.

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

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

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

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

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