Data, AI, and Cloud Courses

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

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

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

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

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

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.

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

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

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

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

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

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

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

In this course youll learn techniques for performing statistical inference on numerical 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 use the Census API to work with demographic and socioeconomic data.

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

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 Python parallel programming with Dask to upscale your workflows and efficiently handle big 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 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 the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

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

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

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

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

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

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

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