(Online Delivery) Microsoft Power BI: Data Analysis Practitioner
Description
Overview:
In our data-driven world, a staggering amount of information is collected about business and personal activities—so much information that analysis becomes a challenge for any organization. Creating data-driven 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 create rich visualizations of connected data. 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.
Course Objectives:
In this course, you will analyze data and create visualizations 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.
- Customize and filter visualizations.
- Share reports and create dashboards in the Power BI service.
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 Services (SSRS) to perform numerical or general data analysis. Students 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.
Software Assumptions:
This course assumes the student is working on a Windows-based PC (not a MAC) and using Power BI for the Desktop (the desktop Power BI application - NOT the web-based version of Power BI). If you are using the web-based version of Power BI, or are on a MAC, we can still help you - but please let us know in advance to make sure we get you in the right class.
Course Content
Lesson 1: Analyzing Data and Reporting with Power BI
Topic A: Identify Business-Intelligence Concepts and Tools
Topic B: Interact with Reports in Power BI
Lesson 2: Connecting to Data
Topic A: Create Data Connections
Topic B: Configure and Manage Relationships
Topic C: Save Files in Power BI Desktop
Lesson 3: Cleaning, Transforming, and Loading Data
Topic A: Load, Clean, and Shape Data with the Power Query Editor
Topic B: Profile Data with the Power Query Editor
Topic C: Perform Advanced Data Shaping with the Power Query Editor
Topic D: Transform Data with the Power Query Editor
Lesson 4: Visualizing Data with Power BI
Topic A: Create Visualizations with Power BI
Topic B: Chart Data with Power BI
Lesson 5: Enhancing Visuals for Data Analysis
Topic A: Customize Visuals and Pages
Topic B: Incorporate Tooltips in Visualizations
Lesson 6: Customizing and Filtering Reports
Topic A: Create and Manage Data Hierarchies
Topic B: Filter Reports
Topic C: Configure Slicers for Interactive Filtering
Lesson 7: Sharing Reports and Creating Dashboards in the Power BI Service
Topic A: Publish and Explore Reports in the Power BI Service
Topic B: Create Dashboards