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Microsoft Power BI: Data Practitioner

Microsoft Power BI: Data Practitioner
Course Description Overview

Course Specifications

Course Number:

095206

Course Length:

2 days

Course Description 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 South African Career Campus 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

 

Course-specific Technical Requirements Hardware:


For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configurations:If using virtual machines, it is recommended to assign two virtual processors to each VM.


  • 2 GHz or faster 64-bit (x64) processor
  • 8 gigabyte (GB) RAM (64-bit)
  • 16 GB available hard disk space (32-bit) or 20 GB (64-bit)
  • CD-ROM drive (if installing any software from a CD-ROM)
  • Keyboard and mouse (or other pointing device)
  • 1,024 x 768 or higher resolution monitor recommended
  • Network cards and cabling for local network access
  • Internet access (contact your local network administrator)
  • Printer (optional) or an installed printer driver
  • Projection system to display the instructor's computer screen
  • Mobile device to run Power BI mobile app (optional)

 

Course-specific Technical Requirements Software:

  • Microsoft® Windows® 10
  • Microsoft® Office 365™ Enterprise (Trial)Students will need to be provided with an Office 365 Enterprise trial email address they can access during the course.
  • Adobe® Acrobat® Reader
  • Power BI ® Desktop
  • Any web browser.

  • If necessary, software for viewing the course slides. (Instructor machine only.)

 

Course Content:


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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