MSO140 - Microsoft Power BI: Data Analysis Professional

Course Description

Short Course | 18 hours | 1.8 CEUs | $2,295

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.

MSO140 is taken as part of the Data Analyst I Professional Certificate. To complete the certificate students will also enroll in BID615, plus one of the following electives -  SQL100, PYT100, or TAB100. Click on each course link for more details and to add to cart.

Course Outline

• Lesson 1: Analyzing Data and Reporting with Power BI
  • Topic A: Data Analysis and Visualization for Business Intelligence
  • Topic B: Interact with Reports in Power BI
• Lesson 2: Connecting to Data
  • Topic A: Create Data Source Connections
  • Topic B: Configure and Manage Data Relationships
  • Topic C: Save Files in Power BI
  • Topic D: Secure and Troubleshoot Connections
• Lesson 3: Cleaning, Transforming, and Loading Data
  • Topic A: Load, Clean, and Shape Data with the Query Editor
  • Topic B: Profile Data with the Query Editor
  • Topic C: Shape Data with the Query Editor
  • Topic D: Transform Data with the Query Editor
• Lesson 4: Visualizing Data with Power BI
  • Topic A: Create Visualizations in Power BI
  • Topic B: Select Visualization Types with Power BI
• Lesson 5: Enhancing Visuals for Data Analysis
  • Topic A: Customize Visuals and Pages
  • Topic B: Incorporate Tooltips in Visualizations
• Lesson 6: Modeling Data with Calculations
  • Topic A: Create Calculations with DAX
  • Topic B: Create Calculated Measures and Conditional Columns
• Lesson 7: Customizing and Filtering Reports
  • Topic A: Create Data Hierarchies
  • Topic B: Filter Reports
  • Topic C: Discover Time-Intelligence Insights
  • Topic D: Configure Slicers for Interactive Filtering
• Lesson 8: Performing Advanced Analysis
  • Topic A: Create Calculated Tables, Variables, and Parameters
  • Topic B: Perform Statistical Analysis
  • Topic C: Analyze Data with Advanced Power BI Features
• Lesson 9: Sharing Reports and Creating Dashboards in the Power BI Service
  • Topic A: Publish and Explore Reports in the Power BI Service
  • Topic B: Create Dashboards
  • Topic C: Add Q&A to Dashbaords
• Lesson 10: Managing and Collaborating in the Power BI Service
  • Topic A: Manage Workspaces and Share Content
  • Topic B: Collaborate with the Power BI Service
• Lesson 11: Enhancing Reports and Dashboards
  • Topic A: Optimize Usability and Performance
  • Topic B: Create Mobile Reports for Power BI

Learner Outcomes

• 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.
• Customize and filter visualizations.
• Use advanced analysis techniques.
• Share reports and create dashboards in the Power BI service.
• Manage and collaborate in the Power Bi Service.
• Enhance reports and dashboards.

Duration