NumPy is a powerful python library that provides N-dimensional arrays and functions to perform scientific computing. In this course, you’ll learn the basics of NumPy, its data types and attributes, and NumPy array creation in different scenarios.

This course teaches you the basic skills required for using Power BI to acquire and transform data, enhance the data for analysis, and produce reports and dashboards.

Work hands-on with real datasets while learning Python for data science.

A beginner's guide to SQL and relational databases, focusing on database design, query writing, and data management techniques.

This course covers concepts related to Typescript, ORMs, SQL and how they blend to build modern Node.js applications

In this course you will learn the features of Alteryx, how to source in data, massage data, and generate dashboards out of data.

This course will cover how to use Google Analytics, to guide your creative choices. Aimed at creative pros who may be great with design tools, but shy away from spreadsheets, this course cuts through the jargon to deliver lessons that make sense.

Use Microsoft Purview to register and scan data, catalog data artifacts, find data for reporting, and manage Power BI artifacts to improve data governance in your organization.

In this course, Grouping Data into Bins and Categories, you'll learn the techniques of data binning, bin management, and data visualization to analyze large data sets and make data-driven decisions.

Write log queries to find answers to operational and business questions. Use Kusto Query Language (KQL) to extract insights from logs in Azure Monitor.

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

A Power BI report is only as good as the data that drives it; so how do you make sure you've got the best and most effective data? This course helps you understand who owns the data in your organization so you can get the right data when you need it.