(Online Delivery) Microsoft Power BI: Data Analysis Practitioner
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" 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.
Course Objectives:
In this course, you will analyze data and create visualizations with Microsoft Power BI. You will:
- Analyze data and create reports with Power BI.
- Connect to data.
- Clean, transform, and load data.
- Visualize data with Power BI.
- Enhance visuals to support data analysis.
- Customize and filter reports.
- 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 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.
Course Content
Lesson 1: Analyzing Data and Reporting with Power BI
Topic A: Data Analysis and Visualization for Business Intelligence
Topic B: Interact with Reports in Power BI
Lesson 2: Connecting to Data
Topic A: Create Data Source Connections
Topic B: Configure and Manage Relationships
Topic C: Save Files in Power BI
Lesson 3: Cleaning, Transforming, and Loading Data
Topic A: Load, Clean, and Shape Data with the Query Editor
Topic B: Profile Data with the Query Editor
Topic C: Shape Data with the Query Editor
Topic D: Transform Data with the Query Editor
Lesson 4: Visualizing Data with Power BI
Topic A: Create Visualizations with Power BI
Topic B: Select Visualization Types 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 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
Topic C: Add Q&A to Dashboards