Data, AI, and Cloud Courses

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

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

Learn how to analyze a SQL table and report insights to management.

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

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

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

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

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

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

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

Learn how to implement and schedule data engineering workflows.

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

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

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

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

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

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!

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

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

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.

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

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

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

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

Learn how to work with dates and times in Python.

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.

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.