Learn loops, control flow, and functions while working hands-on to merge, aggregate, and analyze real-world datasets.

Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.

We all have to deal with dirty data. By using the M language, we can clean and prep our data for use in Power BI. M turns manual data cleanup into an automated process.

MongoDB is a popular and trending technology. In fact, it occupies the 5th position in database usage. By the end of this course you will learn how to tackle most aspects related to filtering, sorting and displaying data in MongoDB.

This course will teach you to query data in your .NET applications using Entity Framework Core.

MongoDB’s Map-reduce stands strong as the number one choice for big data analytics. Learn about condensing a large volume of document data into a small set of aggregated results by creating versatile map and reduce functions in JavaScript.

The course teaches the core syntax and concepts of Transact-SQL.

This course solves the problem of loading data from CSV files.

In this course, you'll learn how to read data from various sources, like surveys, sensors, and machines, and how to use Python tools to clean, aggregate, and visualize it. You'll also explore the value of data for different use cases and industries.

Manipulating JSON files is essential to importing and processing JSON data in Python. This course teaches you to apply the most valuable and common JSON data and file operations available with the Python standard library.

Study the use of Apache Storm for processing real-time data streams and generating insights on-the-fly.

Through this course, individuals will learn the value of data literacy for their employees and organization as a whole, along with discovering what data literacy is and key skills to help organizations succeed in the digital and analytics economy.