Data, AI, and Cloud Courses

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

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

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

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

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

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

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

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

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

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

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

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

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 easily summarize and manipulate lists using the purrr package.

Learn how to visualize time series in R, then practice with a stock-picking case study.

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

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

Learn the fundamentals of valuing stocks.

Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.

You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.

In this course youll learn how to apply machine learning in the HR domain.

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

Build AI teams that work together, automate workflows, and generate content with CrewAI.

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

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

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

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.

Learn to analyze, plot, and model multivariate data.