Data, AI, and Cloud Courses

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.

Learn how to clean and prepare your data for machine learning!

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Learn how to implement and schedule data engineering workflows.

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Discover the different ways you can enhance your Power BI data importing skills.

Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

Discover branches and remote repos for version control in collaborative software and data projects using Git!

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

This course introduces dbt for data modeling, transformations, testing, and building documentation.

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

Learn how to work with dates and times in Python.

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.