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 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.
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.
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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:
Microsoft® Office Excel® 2016: Part 1 (Desktop/Office 365™)
Microsoft® Office Excel® 2016: Part 2
Using Google G Suite™
Detailed Class Syllabus
Lesson 1: Analyzing Data with Self-Service BI
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