Data, AI, and Cloud Courses

In this course youll learn how to leverage statistical techniques for working with categorical data.

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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.

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

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

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

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

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