APPOWERBI - Microsoft Power BI: Data Analysis Professional

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.

Instructor did a great job, from experience this subject can be a bit dry to teach but he was able to keep it very engaging and made it much easier to focus. Student
Excellent presentation skills, subject matter knowledge, and command of the environment. Student
Instructor was outstanding. Knowledgeable, presented well, and class timing was perfect. Student

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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™

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:
  • Google Analytics™: Foundation (Second Edition)
  • Database Design: A Modern Approach
  • Microsoft® Office Excel® 2016: Data Analysis with Power Pivot

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