Course 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’ has exploded due to the rise 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 advantage.
The creation of data-backed visualizations is a key way data scientists, or any professional, can 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 allows 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, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.
What you’ll learn
- Analyze data with self-service BI.
- Connect to data sources.
- Perform advanced data modeling and shaping.
- Visualize data with Power BI.
- Enhance data analysis.
- Model data with calculations.
- Create interactive visualizations.
- Perform advanced analysis.
- Publish and share reports and dashboards.
- Extend access to Power BI.
Requirements
- To ensure your success, you should have experience managing data with a spreadsheet program such as Microsoft Excel or Google Sheets. To meet this prerequisite, you can take any one or more of the following Logical Operations courses:
- Microsoft® Office Excel® 2016: Part 1 (Desktop/Office 365™)
- Microsoft® Office Excel® 2016: Part 2
- Using Google G Suite™
- Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM), 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® Office Excel® 2016: Data Analysis with Power Pivot
Curriculum
- 1 Section
- 10 Lessons
- 3 Days
- Topics10
- 1.1Lesson 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
- 1.2Lesson 2: Connecting to Data Topic A: Create Data Connections Topic B: Model Data with Relationships Topic C: Save Power BI Files
- 1.3Lesson 3: Performing Advanced Data Modeling and Shaping Topic A: Clean and Transform Data with the Query Editor Topic B: Shape Data with the Query Editor Topic C: Combine and Manage Data Rows
- 1.4Lesson 4: Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI
- 1.5Lesson 5: Enhancing Data Analysis Topic A: Enhance Analysis with Customized Visuals and Pages Topic B: Enhance Analysis with Tooltips
- 1.6Lesson 6: Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns
- 1.7Lesson 7: Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards in Power BI
- 1.8Lesson 8: Performing Advanced Analysis Topic A: Create Calculated Tables, Variables, and Parameters Topic B: Enhance Visuals with Statistical Analysis Topic C: Review Analysis Services Connection Options
- 1.9Lesson 9: Publishing and Sharing Reports and Dashboards Topic A: Publish Reports Topic B: Share Reports and Dashboards
- 1.10Lesson 10: Extending Access to Power BI Topic A: Access Reports Using Power BI Mobile Topic B: Extend Access with the Power BI API
Instructor
