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

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

Learn to present data visually to make complex data more understandable and actionable.

An introductory course to familiarize the rich library of Seaborn to visualize variety of data types.

An introductory course to familiarize the rich library of Seaborn to visualize variety of data types.

Learn to create dynamic and interactive data visualizations using D3.js, enhancing data presentation techniques.

Master data visualization techniques using D3.js to create interactive and dynamic visualizations.

Learn about telling stories with data and visual best practices with Kate Strachnyi.

Data Visualization Essentials: Charts, Graphs, Visualizing Data is a comprehensive course exploring various visual techniques to represent data effectively.

"I have data, now what?” In this course you will begin your journey to better understanding Data Visualizations. We will discuss asking questions that only the data can answer, data types, aggregations, cleaning and prepping tips.

In this talk, learn about the process of building a machine learning (ML) model in the real world, how and when practitioners use visualization to make more effective choices, and considerations for ML visualization tooling.

This course guides you to craft compelling visual narratives from complex datasets. Learn principles, advanced techniques, and apply them to make insightful, data-driven decisions.