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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.
In this course, you will explore and visualize data with Power BI.
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, then shaping and combining data for the purpose of analysis, and are 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 looking to take the Exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI certification exam.
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:
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:
For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configurations:If using virtual machines, it is recommended that you assign two virtual processors to each VM.
Topic A: Data Analysis and Visualization for Business Intelligence
Topic B: Self-Service BI with Microsoft Power BI
Topic A: Create Data Connections
Topic B: Model Data with Relationships
Topic C: Save Power BI Files
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
Topic A: Create Visualizations in Power BI
Topic B: Chart Data in Power BI
Topic A: Enhance Analysis with Customized Visuals and Pages
Topic B: Enhance Analysis with Tooltips
Topic A: Create Calculations with Data Analysis Expressions (DAX)
Topic B: Create Calculated Measures and Conditional Columns
Topic A: Create and Manage Data Hierarchies
Topic B: Filter and Slice Reports
Topic C: Create Dashboards in Power BI
Topic A: Create Calculated Tables, Variables, and Parameters
Topic B: Enhance Visuals with Statistical Analysis
Topic C: Review Analysis Services Connection Options
Topic A: Publish Reports
Topic B: Share Reports and Dashboards
Topic A: Access Reports Using Power BI Mobile
Topic B: Extend Access with the Power BI API
|Days Of Training||3.0|
|Product Type||Print and Digital Courseware|
|Publication Date||2018-11-26 00:00:00|
|Curriculum Library||Power BI|
|Secondary Category||IT Management|