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Course Description

Mustard-colored square with black logo of increasing sized lines a rectangular outline representing a computer screen with the windows symbol and the words Power BI

 

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.

Course Outline

  • 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

Learner Outcomes

At the end of this program, learners will be able to:

  • 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

Prerequisites

Learn about more data analysis topics here

Recommendations

To ensure your success, you should have experience managing data with a spreadsheet program such as Microsoft Excel or Google Sheets. Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM) tools, 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.

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
Virtual: Instructor Led
Days
M, W
Time
3:00PM to 6:00PM
Dates
Jan 17, 2022 to Jan 31, 2022
Schedule and Location
Contact Hours
14.0
Delivery Options
Virtual  
Course Fee(s)
Tuition non-credit $1,395.00
Section Notes

Enrollment Deadline is Monday, January 10, 2022  at 5 PM CST. Beyond this date, please call 314-935-4444 to register.

THIS IS A VIRTUAL COURSE--Attendee can participate from a location of their choosing. The live instructor teaches the course and provides the opportunity for remote attendees to participate in discusses and exercises with both in-person and remote attendees. Some courses involve hands-on activities and labs. These activities are performed via a secure cloud-accessible environment. Live online courses are through Zoom (or Webex); Video camera, microphone and speakers are necessary to participate in this class.

CANCELLATION POLICY

A full refund will be given when a registrant cancels more than five business days prior to the start of the class. Cancellations received within 5 business days of the start of the class and no-shows will be billed in full. Another person may be substituted at any time at no additional charge. 

Type
Classroom: Instructor Led
Days
T, W
Time
9:00AM to 4:30PM
Dates
Sep 13, 2022 to Sep 14, 2022
Schedule and Location
Contact Hours
14.0
Delivery Options
On Campus  
Course Fee(s)
Tuition non-credit $1,395.00
Section Notes

Enrollment Deadline is Tuesday, September 6 2022  at 5 PM CST. Beyond this date, please call 314-935-4444 to register.

Parking, lunch and refreshments are provided.

CANCELLATION POLICY

A full refund will be given when a registrant cancels more than five business days prior to the start of the class. Cancellations received within 5 business days of the start of the class and no-shows will be billed in full. Another person may be substituted at any time at no additional charge.

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