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Microsoft® Power BI®: Data Analysis Practitioner

  • Course Code: POWERBI DAP
  • Course Dates: Contact us to schedule.
  • Course Category: Big Data & Data Science Duration: 2 Days

Overview:

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 Objectives:

In this course, you will explore and visualize data with Power BI.

You will:

  • 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.

Target Student:

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 server to perform numerical or general data analysis. They are responsible for conducting data analysis and providing reports about their analysis, and are 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.

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) 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. 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

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

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