Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. It enables an organization to analyze and understand its data in a meaningful way.

Excel is a spreadsheet software developed by Microsoft that allows users to organize, analyze, and manipulate data using features such as formulas, charts, graphs, and pivot tables, and is commonly used for financial and accounting tasks, data analysis, and project management.

SQL (Structured Query Language) is a programming language used for managing and manipulating data in relational databases, allowing users to create, retrieve, update, and delete data from tables and perform complex operations such as joining multiple tables, filtering data, and aggregating information.

Power Apps is a platform developed by Microsoft that allows users to build custom business applications without extensive coding experience, using a drag-and-drop approach to create user interfaces and workflows, and can be easily integrated with other Microsoft services such as Office 365 and Dynamics 365.

Microsoft SharePoint is a web-based platform developed by Microsoft for content management, document management, and collaboration. It allows users to create intranet sites, extranet sites, and websites where they can store, organize, and share information with other members of their organization or with external partners or customers.

Power Automate is a cloud-based service that allows you to create automated workflows between applications and services. With Power Automate, you can automate tasks, collect data, and build business processes. It integrates with Office 365, Dynamics 365, Power BI, PowerApps, and many other applications to create automated workflows.

Python is an open-source, general-purpose programming language that is used for a wide variety of applications, including web development, data analysis, artificial intelligence, and scientific computing. It has a large and active developer community that creates libraries, frameworks, and tools including data analytics libraries like Pandas, NumPy, scikit-learn, and matplotlib.

R is a programming language and free software environment for statistical computing and graphics. It is widely used among statisticians and data miners for developing statistical software and data analysis.  R provides a wide variety of statistical and graphical techniques including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and more.