Transforming, Analyzing & Visualizing Data using Microsoft Power BI Course

IntroductionThis 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