A Practical Guide: This guide provides practical insights and step-by-step instructions for deploying, managing, and scaling applications using Azure Kubernetes Services (AKS).

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

In this course, we will take an in-depth look at the collection types available in PL/SQL, namely Associative Arrays, Varrays, and Nested Tables. We'll also talk about the bulk fetch and collect features which greatly enhance the performance our PL/SQL code.

This course will teach you how to build React apps that use components in the best possible way while minimizing computer resources and maximizing browser UI experience.

Explore containerization with Docker and Docker Compose, focusing on building and managing containerized applications.

This course introduces key concepts to proficiently work with data - data cleaning, preprocessing, manipulation, transformation, and core concepts of data visualization and interpretation. You'll also work through examples with a provided dataset.

This course will teach you to construct React apps adept at managing all data seamlessly. You'll also learn about the React concurrent rendering feature, Suspense, which enables superior user experiences.

Many modern applications require reading and processing data from various sources. This course will teach you different ways you can programmatically read and structure data using Ruby 3.

Enhance your data management capabilities in Windows PowerShell with this hands-on, intermediate-level course designed to teach you the essentials of handling various data types and automating your workflow.

This course will teach you how to develop applications in Python using both relational and NoSQL databases.

Learn how to work with dates and times in Python.

Learn the essentials of parsing, manipulating and computing with dates and times in R.