[VIRTUAL] Data Jump Start: Data Visualization & Power BI
In this workshop you'll gain a 360° overview of how to explore and use Power BI to build impactful reports that drive insights, analysis, and data driven decision making.
Thursday, January 7, 2021
6:30 PM - 8:30 PM (Central Standard Time)
This event has ended.
If you are wondering what's next after Excel to separate yourself from your peers and make data driven decisions. You've found it.
In this workshop you'll gain a 360° overview of how to explore and use Power BI to build impactful reports that drive insights, analysis, and data driven decision making. During this course you’ll go from zero to hero, as you discover how to use this popular business intelligence platform through a hands-on real world scenario and exercises. You’ll first learn how to confidently load and transform data using Power Query and the importance of data models, before diving into creating visualizations using Power BI’s drag-and-drop functionality. You’ll also learn how to drill-down into reports and make your reports fully interactive.
Lastly, you'll level-up your skills using DAX formulas (Data Analysis Expressions) to create customized calculated columns and fields to better analyze your data. You'll have built a Powerbi dashboard that you can share with stakeholders and apply to future business scenarios.
Who You are:
You work with large data sets (>50K rows) and need a more scalable solution
You want to build intuitive dashboards and reports for other people to interact with
You want to learn industry-leading methods for extracting insights
Your organization has access to Microsoft 365 or Power BI and you want to learn more
You want to take the next step in your career
Learn Power BI Terminology and navigation
Learn how to conduct Exploratory Data Analysis (EDA)
Data preparation and cleaning
Types of visualizations & Dashboard best practices
Build custom measures, columns, & Basic DAX functions
Create a fully functioning PowerBi dashboard using a real world scenario
Time: 6:30pm - 8:30pm CST