This course will teach you how to leverage NumPy to up your game in scientific programming, and show you how to use NumPy for numerical processing, including array indexing, math operations, and search.

Performance optimization, also known as performance tuning, involves making changes to the current state of the semantic model so that it runs more efficiently. Essentially, when your semantic model is optimized, it performs better.

Creating a Power BI report may look like an easy task, but there is a huge difference between the Power BI report that just works and the Power BI report that works efficiently!

Analyze individual query performance and determine where improvements can be made. Explore performance-related Dynamic Management Objects. Investigate how indexes and database design affect queries.

Explore the potential of the medallion architecture design in Microsoft Fabric. Organize and transform your data across Bronze, Silver, and Gold layers of a lakehouse for optimized analytics.

This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform.

In this course, you will learn about the role of Cloud Pak for Data administrator and how it relates to the role of OpenShift administrator.

This course introduces the learner to the Cloud Pak for Data platform.

This course covers the use of pandas arrays for data analysis and manipulation, including handling time data, categorical data, and sparse data. Hands-on exercises provide practical experience using pandas arrays to solve real-world problems.

Learn to handle complex data frames and analyze your data with pandas functions. This course will teach you advanced parts of this library.

Quick and expressive data analysis requires good tools and knowledge of them. In this course, you'll explore the world of data science by learning core Pandas functionalities, including its IO capabilities, plotting methods, and DataFrames.

Pandas is one of the most popular software packages for data analysis. This course focuses on the core functionalities of Pandas for data wrangling, teaching you how to tackle everyday tasks for a data analyst, or data scientist.