Designing Data Models in Excel for Power BI Reports Training

This course focuses on designing BI Data Models to display in either an interactive Power BI report or an interactive Excel dashboard. This is both a fundamental Power BI course and an advanced Excel course that will take you through a data journey from importing, cleansing, and merging large amounts of data to analyzing the data to presenting strategic data in a PivotTable and a Power BI dashboard. This practical course provides flexibility and empowers you to choose how you want to present your business insights to help management make informed decisions. Designing Data Models in Excel for Power BI Reports Training Benefits Transform and present sophisticated data to provide Business Intelligence (BI) Actualize a data model from multiple sources with Power Pivot Shape and prepare your data with Power Query Mine and expose hidden information with Data Analysis eXpressions Communicate business and data insights with Power BI reports and dashboards Leverage continued support with after-course one-on-one instructor coaching and computing sandbox Data Models in Excel for Power BI Outline Important course information Prerequisites Experience with Excel at the level of: Excel Data Analysis Course • Course 195 This course is applicable to all versions of Excel, from Excel 2010 to Excel 2021 Module 1: Identifying the Role of Power Pivot in Business Intelligence (BI) Introducing the Business Intelligence Tools Exploring the Microsoft Business Intelligence tools Defining the requirements for a collaborative solution Identifying the steps to create a Power BI dashboard Familiarization with Power Pivot Navigating the Power Pivot interface Extracting information from data with Power Pivot Uncovering data interpretation issues Creating a simple dashboard Module 2: Building the Data Model with Power Pivot Defining a consolidated view of data Generating a data mashup from structured and unstructured data sources into a data model Deriving relationships from data sources with the Relationships tool and the Diagram View Denormalizing data to simplify usage within other BI reporting tools Simplifying the data model Acquiring data from related tables Consolidating information with calculated columns Querying SQL Server data Designing queries to import data from SQL Server Relating tables with outer joins Fixing common data issues with Power Query Extracting, Transforming, and Loading (ETL) data Converting data formats with Power Query steps Parsing columns to aid analysis Removing duplicates from a data set Constructing a single data set from multiple sources with the same field headings Module 3: Shaping Data with Power Query Familiarization with Power Query Navigating the Power Query interface Extracting, Transforming, and Loading (ETL) data Converting data formats with Power Query steps Parsing columns to aid analysis Combining Data Merging tables of data Constructing a single data set from multiple sources with the same field headings Develop an automated solution to combining data Filtering Data with Parameters Developing queries Removing duplicates from a data set Defining Excel tables as parameters for a Power Query Module 4: Manipulating and Analyzing Data with the Data Analysis eXpressions (DAX) Language Defining measures for business performance Distinguishing the role of measures Translating key business concepts into measures Providing context for measures within a PivotTable Determining between implicit and explicit measures Implementing DAX functions in Power Pivot Expressing information with measures Exposing hidden information from data Troubleshooting and debugging DAX calculations Exploiting data analytics with aggregation Quantifying and mining information with DAX functions Summarizing and aggregating data from other tables with the X functions Evaluating expressions with the CALCULATE() function and filter functions Substituting values with the SWITCH() function Mining for information with date and time analysis Grouping dates for time analysis Comparing and categorizing time periods with Time Intelligence functions Setting key business targets with KPIs Analyzing performance with measures Gauging performance against goals Module 5: Designing Interactive Power BI dashboards Familiarization with Power BI Deciding on where to develop a dashboard Importing an Excel data model into Power BI Desktop Developing a data model in the Power BI Desktop Crafting visualizations from the analytics Building a Power BI dashboard Constructing Power BI visualizations Designing visual-level, page-level, and report-level filter Assembling a Power BI Dashboard