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" is a direct result of the popularity and growth 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 advantages.
Creating data-backed visualizations is key for data scientists, or any professional, to 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 it enables 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, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.
In this course, you will analyze data with Microsoft Power BI. You will:
- Analyze data with self-service BI.
- Connect to data sources.
- Perform data cleaning, profiling, and shaping.
- Visualize data with Power BI.
- Enhance data analysis by adding and customizing visual elements.
- Model data with calculations.
- Create interactive visualizations.
- Use advanced analysis techniques.
- Enhance reports and dashboards.
- Publish and share reports and dashboards.
- Extend Power BI beyond the desktop.
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 Sources
Topic A: Create Data Connections
Topic B: Configure and Manage Data Relationships
Topic C: Save Files in Power BI
Lesson 3: Performing Data Cleaning, Profiling, and Shaping
Topic A: Clean, Transform, and Load Data with the Query Editor
Topic B: Profile Data with the Query Editor
Topic C: Shape Data with the Query Editor
Topic D: 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: Customize Visuals and Pages
Topic B: Incorporate 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
Lesson 8: Using Advanced Analysis Techniques
Topic A: Create Calculated Tables, Variables, and Parameters
Topic B: Enhance Visuals with Statistical Analysis
Topic C: Perform Advanced Analysis
Lesson 9: Enhancing Reports and Dashboards
Topic A: Enhance Reports
Topic B: Enhance Dashboards
Lesson 10: Publishing and Sharing Reports and Dashboards
Topic A: Publish Reports
Topic B: Create and Manage Workspaces
Topic C: Share Reports and Dashboards
Lesson 11: Extending Power BI Beyond the Desktop
Topic A: Use Power BI Mobile
Topic B: Extend Access with the Power BI API
Appendix A: Mapping Course Content to Exam DA-100: Analyzing Data with Microsoft Power BI Certification Objectives
To ensure your success in this course you should have experience managing data with a spreadsheet program such as Excel, which you could obtain by taking the following courses.
- Excel Part 1
- Excel Part 2
Additionally, as this course is focused on evaluating data, students should also have relational database experience including an understanding of tables, joins, and table relationships OR have taken Access Part 1.
This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients.
This course is also designed for professionals who want to pursue the Microsoft certification Exam DA-100: Analyzing Data with Microsoft Power BI.