Transforming, Analyzing and Visualizing Data with Microsoft Power BI Course

This practical five day course is designed for those who need to create business analytics using Microsoft Power BI.Power BI Desktop is part of the suite of tools from Microsoft which enable data to be analysed and published from a variety of sources. With Power BI Desktop, you get a report authoring tool that enables you to connect to and query data from different sources using the Query Editor. From the datasets, you build with Query Editor you can create Reports and Visualizations or dashboards within Power BI Desktop. Reports can then be published.By the end of the Adventure Works project, not only will you have developed an entire business intelligence tool from the ground up, but you will have gained the knowledge and confidence to apply these same concepts to your own real-world analyses

What you’ll learn

• Build professional-quality business intelligence reports from the ground up
• Blend and transform raw data into beautiful interactive dashboards
• Design and implement the same B.I. tools used by professional analysts and data scientists
• Showcase your skills with two full-scale course projects (with step-by-step solutions)
• Understand the business intelligence workflow from end-to-end
• Learn from a best-selling instructor and professional BI developer

Duration: 5 Days

Requirements

• Microsoft Power BI Desktop (free download)
• This course is designed for PC/Windows users (currently not available for Mac)
• Experience with Excel Power Query, Power Pivot and DAX is a plus, but not required

Module One: Introduction to Self-Service BI Solutions

• Introduction to business intelligence
• Introduction to data analysis
• Introduction to data visualization
• Overview of self-service BI
• Considerations for self-service BI
• Microsoft tools for self-service BI

Module Two: Connect and Transform the Raw Data

• Intro to the Query Editor
• Types of Data Connectors
• Basic Table Transformations
• Text, Number and Date Tools
• Index and Conditional Columns
• Grouping and Aggregating Data
• Pivoting and Unpivoting
• Modifying, Merging and Appending Queries
• Connecting to Folders
• Defining Hierarchies and Categories
• Query Editing Best Practices

Module Three: Build a Relational Data Model

• Intro to Database Normalization
• Data (“Fact”) Tables vs. Lookup (“Dimension”) Tables
• Creating Table Relationships
• “Star” vs. “Snowflake” Schemas
• Active vs. Inactive Relationships
• Relationship Cardinality
• Connecting Multiple Data Tables
• Filtering and Cross-Filtering
• Hiding Fields from Report View
• Data Modeling best Practices

Module Four: Add Calculated Fields with DAX

• Intro to Data Analysis Expressions (DAX)
• Calculated Columns vs. Measures
• Row Context vs. Filter Context
• DAX Syntax and Operators
• Common Function Categories
• Basic Date and Time Formulas
• Logical and Conditional Statements
• Text, Math and Stats Functions
• Joining Data with RELATED
• CALCULATE, ALL and FILTER Functions
• DAX Iterators (SUMX, AVERAGEX)
• Time Intelligence Formulas
• DAX Best Practices

Module Five: Design Interactive Reports

• Intro to the Power BI Report View
• Adding Objects and Basic Charts
• Formatting and Filtering Options
• Matrix Visuals
• Slicers and Timelines
• Cards and KPIs
• Map Visuals (Basic, Fill, ArcGIS)
• Treemaps, Lines, Areas and Gauges
• Editing Report interactions
• Adding Drillthrough Filters
• Linking to Report Bookmarks
• Using “What-If” Parameters
• Managing and Viewing Roles
• PREVIEW: Publishing to Power BI Service
• Data Viz Best Practices

 General Notes

• Register for online training and enjoy discount of (10% to 50%).
• All our courses can be Tailor-made to participants needs
• Course duration is flexible and the contents can be modified to fit any number of days.
• Presentations are well guided, practical exercise, web based tutorials and group work. Our facilitators are expert with more than 10years of experience.
• One year free Consultation and Coaching provided after the course.