Transforming, Analysing & Visualizing Data using Microsoft Power BI Course

Introduction

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.

Course Objectives

• 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 & 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 & Transform the Raw Data

• Intro to the Query Editor
• Types of Data Connectors
• Basic Table Transformations
• Text, Number & Date Tools
• Index & Conditional Columns
• Grouping & Aggregating Data
• Pivoting & Unpivoting
• Modifying, Merging & Appending Queries
• Connecting to Folders
• Defining Hierarchies & 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 & 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 & Operators
• Common Function Categories
• Basic Date & Time Formulas
• Logical & Conditional Statements
• Text, Math & Stats Functions
• Joining Data with RELATED
• CALCULATE, ALL & 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 & Basic Charts
• Formatting & Filtering Options
• Matrix Visuals
• Slicers & Timelines
• Cards & KPIs
• Map Visuals (Basic, Fill, ArcGIS)
• Treemaps, Lines, Areas & Gauges
• Editing Report interactions
• Adding Drillthrough Filters
• Linking to Report Bookmarks
• Using “What-If” Parameters
• Managing & Viewing Roles
• PREVIEW: Publishing to Power BI Service
• Data Viz Best Practices