Data, AI, and Cloud Courses

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.

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

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

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

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

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

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

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

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

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

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

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

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.

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

Learn to process sensitive information with privacy-preserving techniques.

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

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

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Learn to analyze, plot, and model multivariate data.

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Learn the fundamentals of valuing stocks.

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

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

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

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