Data, AI, and Cloud Courses

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

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

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

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

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

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

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

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

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

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Learn to solve increasingly complex problems using simulations to generate and analyze data.

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

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

Learn to process sensitive information with privacy-preserving techniques.

Learn how to tune your models hyperparameters to get the best predictive results.

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.

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

Learn to analyze, plot, and model multivariate data.

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

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

Learn to create animated graphics and linked views entirely in R with plotly.

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

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

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

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