Microsoft Power BI – Data Modeling & Data Manipulation

Microsoft Power BI | Data Visualizations | Data Modeling | Data Manipulation | DAX | Business Intelligence.

Created by: Starweaver Instructor Team
Learning | Doing | Connecting®

Created by: Paul Siegel
Top rated instructor and course creator

Created by: Jeff Robson
Principal Business Analyst at Access Analytic

What Will I Learn?

• Import data into Power BI Desktop from a wide variety of data sources
• How to join different data sets together, even if they come from different files, databases, or other sources
• Clean and transform your data so it’s ready for use with Power BI
• Delve into “Get Data” and an introduction to understanding “M” code (Power Query language)
• Turn short, wide data tables into long, tall tables and why this is so useful for Power BI
• Join multiple data tables together and understanding relationships
• Create efficient data models: merging, appending, and structuring your datasets to create the optimal structure
• Apply your Power Query skills to Excel and when to choose one over the other
• Use different techniques for creating and utilizing a Calendar table that you can use to slice and summarize your reports
• Create queries that automatically report errors and missing codes
• Automatically combine all the Excel, CSV, or Text files in a folder into one table and see how you could apply this
• Apply the principles of filter context, how critical this is for DAX formulas, and how to modify this in calculations to produce the results you need
• Use DAX formulas work and how they’re different from Excel (even though they look similar!)
• Determine when to use a calculated column in a table and when to write a measure
• Create stunning interactive reports and share amazing insights! Power BI gives Excel users the power to extract data from multiple sources, link it together, perform calculations, and create powerful visualizations.

Requirements

• This is an introductory course and although it does not assume any prior experience with Power BI, participants will gain much more from the course if they have at least used Power BI a little prior to attending. Participants who have taught themselves Power BI will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know.
• A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential.

Target audience

• Excel users & analysts that focus on extracting, re-organizing, and analyzing data
• Anyone involved in creating visualizations & data modeling
• Anyone interested in saving huge amounts of time in automating the work involved in creating recurring reports and dashboards