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.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

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.
Use advanced analysis techniques.
Enhance reports and dashboards.
Publish and share reports and dashboards.
Extend Power BI beyond the desktop.

1

  • Analyzing Data with Self-Service BI

  • Data Analysis and Visualization for Business Intelligence
    Self-Service BI with Microsoft Power BI
2

  • Connecting to Data Sources

  • Create Data Connections
    Configure and Manage Data Relationships
    Save Files in Power BI
3

  • Performing Data Cleaning, Profiling, and Shaping

  • Clean, Transform, and Load Data with the Query Editor
    Profile Data with the Query Editor
    Shape Data with the Query Editor
    Combine and Manage Data Rows
4

  • Visualizing Data with Power BI

  • Create Visualizations in Power BI
    Chart Data in Power BI
5

  • Enhancing Data Analysis

  • Customize Visuals and Pages
    Incorporate Tooltips
6

  • Modeling Data with Calculations

  • Create Calculations with Data Analysis Expressions (DAX)
    Create Calculated Measures and Conditional Columns
7

  • Creating Interactive Visualizations

  • Create and Manage Data Hierarchies
    Filter and Slice Reports
    Create Dashboards
8

  • Using Advanced Analysis Techniques

  • Create Calculated Tables, Variables, and Parameters
    Enhance Visuals with Statistical Analysis
    Perform Advanced Analysis
9

  • Enhancing Reports and Dashboards

  • Enhance Reports
    Enhance Dashboards
10

  • Publishing and Sharing Reports and Dashboards

  • Publish Reports
    Create and Manage Workspaces
    Share Reports and Dashboards
11

  • Beyond the Desktop Extending Power BI

  • Use Power BI Mobile
    Extend Access with the Power BI API

Audience

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. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification.

Language

English

Prerequisites

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

$1,185

Length: 3.0 days (24 hours)

Level:

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