Data, AI, and Cloud Courses

An introduction to machine learning with no coding involved.

Data-driven organizations consistently rely on insights to inspire action and drive change.

You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.

Learn to combine data from multiple tables by joining data together using pandas.

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

Learn the key concepts of data modeling on Power BI.

Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.

Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

Learn to design databases in SQL to process, store, and organize data in a more efficient way.

Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.

Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.

Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.

Learn how to create one of the most efficient ways of storing data - relational databases!

Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Learn how to create, customize, and share data visualizations using Matplotlib.

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

Master data modeling in Power BI.