Data, AI, and Cloud Courses

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

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

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

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.

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.

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

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

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.

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

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

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

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

In this course youll learn techniques for performing statistical inference on numerical 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 the Bioconductor package limma for differential gene expression analysis.

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

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

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

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

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

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

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

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

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

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

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Learn to process sensitive information with privacy-preserving techniques.

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