Turn pandas DataFrames into publication-ready visualizations using Seaborn.

Learn to visualize your data using Python in this data science course

Learn good design principles for telling a visual story with data using Matplotlib.

Learn how to clean, transform, and analyze messy datasets using Python, focusing on data wrangling techniques.

Learn the skill of wrangling the data programmatically in Python

Understand database design concepts, including normalization, ER modeling, and transaction management.

Use MATLAB data types to work with timestamps and durations of time.

This course provides hands-on experience dealing with imbalanced data in machine learning, which is critical for machine learning algorithms.

Do you want to know how to debug and deploy your extension? If so, this module helps you discover how to debug with Visual Studio Code and eventually publish your extension.

Learn how to debug C# console applications in Visual Studio Code and how to implement exception handling using the try-catch pattern. Configure the C# debugger tools in Visual Studio Code and use the debugger tools to isolate and fix logic issues. Examine the exception types provided by .NET and the properties of exception objects, then implement exception handling and throw customized exception objects.

Identify, troubleshoot, and resolve errors to optimize your coding workflows and minimize disruptions.

Learn how to debug, disassemble, and reverse-engineer applications on Linux for x64 architecture.