Data, AI, and Cloud Courses

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

Master data modeling in Power BI.

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

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

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

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

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

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

Learn to retrieve and parse information from the internet using the Python library scrapy.

Learn how to work with dates and times in Python.

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

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

Learn how to manipulate and visualize categorical data using pandas and seaborn.

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Leverage the OpenAI API to get your AI applications ready for production.

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

In this course youll learn the basics of working with time series data.

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

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

Get to grips with the foundational components of LangChain agents and build custom chat agents.

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

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Learn to perform linear and logistic regression with multiple explanatory variables.

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

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.