Microsoft Power BI: Data Analysis Professional
About Course
Overview
As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of ‘big data’ has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and a competitive advantage.
The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI’s data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.
Objectives
- Analyze data with self-service BI.
- Connect to data sources.
- Perform advanced data modeling and shaping.
- Visualize data with Power BI.
- Enhance data analysis.
- Model data with calculations.
- Create interactive visualizations.
- Perform advanced analysis.
- Publish and share reports and dashboards.
- Extend access to Power BI.
Audience
Prerequisites
- To ensure your success, you should have experience managing data with a spreadsheet program such as Microsoft Excel or Google Sheets. To meet this prerequisite, you can take any one or more of the following Logical Operations courses:
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- Microsoft® Office Excel® 2016: Part 1 (Desktop/Office 365™)
- Microsoft® Office Excel® 2016: Part 2
- Using Google G Suite™
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- Google Analytics™: Foundation (Second Edition)
- Database Design: A Modern Approach
- Microsoft® Office Excel® 2016: Data Analysis with Power Pivot
Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM), as well as an understanding of database design concepts and basic programming constructs such as looping and branching, will help you get even more out of this course. The following courses are helpful but not required:
Topics
- Topic A: Data Analysis and Visualization for Business Intelligence
- Topic B: Self-Service BI with Microsoft Power BI
Lesson 2: Connecting to Data
- Topic A: Create Data Connections
- Topic B: Model Data with Relationships
- Topic C: Save Power BI Files
Lesson 3: Performing Advanced Data Modeling and Shaping
- Topic A: Clean and Transform Data with the Query Editor
- Topic B: Shape Data with the Query Editor
- Topic C: Combine and Manage Data Rows
Lesson 4: Visualizing Data with Power BI
- Topic A: Create Visualizations in Power BI
- Topic B: Chart Data in Power BI
Lesson 5: Enhancing Data Analysis
- Topic A: Enhance Analysis with Customized Visuals and Pages
- Topic B: Enhance Analysis with Tooltips
Lesson 6: Modeling Data with Calculations
- Topic A: Create Calculations with Data Analysis Expressions (DAX)
- Topic B: Create Calculated Measures and Conditional Columns
Lesson 7: Creating Interactive Visualizations
- Topic A: Create and Manage Data Hierarchies
- Topic B: Filter and Slice Reports
- Topic C: Create Dashboards in Power BI
Lesson 8: Performing Advanced Analysis
- Topic A: Create Calculated Tables, Variables, and Parameters
- Topic B: Enhance Visuals with Statistical Analysis
- Topic C: Review Analysis Services Connection Options
Lesson 9: Publishing and Sharing Reports and Dashboards
- Topic A: Publish Reports
- Topic B: Share Reports and Dashboards
Lesson 10: Extending Access to Power BI
- Topic A: Access Reports Using Power BI Mobile
- Topic B: Extend Access with the Power BI API
Appendix A: Mapping Course Content to the Analyzing and Visualizing Data with Microsoft® Power BI® Certification Objectives