logo


your one source for IT & AV

About Us | Careers | Contact Us | Locations  
Training Presentation Systems Services & Consulting Cloud Services Purchase Client Center Computer Museum
Arrow Course Schedule | Classroom Rentals | Student Information | Free Seminars | Client Feedback | Partners | Survey | Standby Discounts

Microsoft Power BI: Data Analysis Practitioner

SS Course: 3000644

Course Overview

TOP

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.

                                                                  

Scheduled Classes

TOP
09/12/22 - CLC - Virtual Instructor-Led - Virtual Instructor-Led
10/17/22 - HVD - Virtual Instructor-Led - Virtual Instructor-Led
12/05/22 - CLE - Virtual Instructor-Led - Virtual Instructor-Led

What You'll Learn

TOP

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.

Outline

TOP
Viewing outline for:

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

Prerequisites

TOP

To ensure your success in this course you should have experience managing data with a spreadsheet program such as Microsoft® Excel®, which you could obtain by taking the following Logical Operations courses.

  • Microsoft® Excel® for Office 365™ (Desktop or Online): Part 1 or Microsoft® Office Excel® 2019: Part 1
  • Microsoft® Excel® for Office 365™ (Desktop or Online): Part 2 or Microsoft® Office Excel® 2019: Part 2

Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM) systems such as Salesforce®, 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® Excel for Office 365™: Data Analysis with Power Pivot or Microsoft® Office Excel® 2019: Data Analysis with Power Pivot
  • Data Analysis and Visualization with Microsoft® Excel®

    Who Should Attend

    TOP
    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.

    Next Step Courses

    TOP