Get and Transform Data with Power Query (M Programming) in Power BI Course Overview

To ensure that you can successfully undertake training in the Get and Transform Data with Power Query (M Programming) in Power BI course, the following minimum prerequisites are recommended:

• Basic understanding of data concepts, such as data tables, data relationships, and data types.
• Familiarity with Microsoft Excel, including functions and formulas, as Power Query is used within Excel as well as Power BI.
• Knowledge of the basic principles of databases and some experience with any relational database system (such as Microsoft SQL Server, MySQL, Oracle, etc.) would be beneficial but not mandatory.
• Ability to navigate and use the Windows operating system, including file management and system navigation.
• Some experience working with data sets in a business context can help relate course examples to real-world scenarios.
• No prior experience with Power BI or M language is required, but an interest in learning data transformation and automation techniques will help with engagement and comprehension.

Please note that these prerequisites are intended to provide a foundation for the learning experience. The course is designed to guide you through the functionalities of Power Query and the M language, starting from basic concepts to more complex data manipulation techniques.

Target Audience for Get and Transform Data with Power Query (M Programming) in Power BI

The course focuses on leveraging Power Query and M programming in Power BI to transform data, catering to professionals in data analytics and management.

• Data Analysts
• Business Intelligence Professionals
• Data Scientists
• Excel Power Users
• Report Developers
• BI Consultants
• Data Engineers
• Marketing Analysts
• Financial Analysts
• IT Professionals working with data
• Database Administrators
• Professionals looking to enhance their data manipulation skills
• Business Analysts
• Project Managers overseeing data-driven projects
• Academic Researchers using quantitative data
• Data Warehousing Specialists

Learning Objectives - What you will Learn in this Get and Transform Data with Power Query (M Programming) in Power BI?

Introduction to Learning Outcomes

Gain proficiency in using Power Query and the M programming language to extract, transform, and load data for analysis within Power BI and Excel. Learn to manage multiple data sources effectively.

Learning Objectives and Outcomes

• Understand the functionalities of Power Query within Power BI and Excel, and recognize its role in data analysis workflows.
• Grasp core Power Query concepts and execute a step-by-step data transformation process.
• Connect to and query relational databases, extract information from files, and utilize various data sources.
• Master the transformation of data by filtering, sorting, and altering table values to prepare for analysis.
• Learn to unpivot, transpose, and create custom columns in Power Query to restructure data sets.
• Write basic M code within the Power Query Editor to automate data processing tasks.
• Comprehend M language concepts, such as lists, records, tables, and functions, to enhance data manipulation capabilities.
• Create relationships between tables in Power BI to build a coherent data model for analysis.
• Manage multiple queries by using one as a source for another, appending, and merging data from different sources.
• Apply advanced techniques such as working with explicit calculated fields to enrich data analysis.