This is part 3 of the Project Professional Series we introduced at our April 2018 Meetup covering all things becoming a Power BI Professional. Our previous meeting dived into shaping & transforming data using the Query editor, and now we dive into the Data Model & DAX!

Importing data into Power BI is only the first step of creating an interactive, actionable, & professional Report. This meetup will introduce the Data (or Report) view in Power BI, understanding the concepts of Relationships in your data model, and begin to use DAX to create calculated columns and measures. Make sure to bring your computer & download the necessary files for the meetup!

We will also be covering the Microsoft Business Applications Summit that will have just concluded in June. The Summit will cover how to gain expertise into Microsoft’s end-to-end business applications, including new Power BI tools & features coming to the PBI platform.

Download the files here:
https://drive.google.com/drive/folders/1NDETQyBqFtcLP-ngtpoQmtlmr6wEdI8m?usp=sharing

What is it:
Interactive Education & Training building off the Dashboard in an Hour workshop format. The meetings will focus on best practices, interactive report building, and developing advanced skills in Power BI. The workshops will also focus n providing solutions by using both Power BI Technical Skills as well as Business Case for various scenarios.
Goals:
To develop the necessary skills to be an effective Power BI Professional using both technical & business skills in a Business Intelligence environment. Members should develop understanding on how to approach BI solutions for their stakeholders & be effective in manifesting that through their Reports & data visualization. As such, members will become knowledgeable on the technical features in Power BI & how to apply them.
Skills
1. Business Understanding on approaching Data
2. Expertise in Power BI features & tools
a. Query Editor functions/features
b. Data View / DAX understanding
c. Report View / Visualizing Data
3. Problem solving skills & techniques to approach common BI use cases