(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.

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. 

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