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Excel for Business

Designing Data Models in Excel for Power BI Report Excel for Business - Level2 Course Content: Identifying the Role of Power Pivot in B...

Excel for Business

Enrolled

141

Investment

18,000

Course Overview

Everything you need to know about this comprehensive Meta marketing course

Designing Data Models in Excel for Power BI Report

Excel for Business - Level2

Course Content:

  • 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

    Familiarisation with Power Pivot

    • Navigating the Power Pivot interface
    • Extracting information from data with Power Pivot
    • Uncovering data interpretation issues
    • Creating a dashboard
  • 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

    Denormalising data to simplify usage within other BI reporting tools

    • Acquiring data from related tables
    • Defining calculated columns
    • Consolidating information available to BI tools

    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
  • Manipulating and Analysing 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
    • Summarising 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 categorising time periods with Time Intelligence functions

    Setting key business targets with KPIs

    • Analysing performance with measures
    • Gauging performance against goals
  • Designing effective Power BI dashboards

    Familiarisation with the Power BI Architecture

    • 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 visualisations from the analytics

    Building a Power BI dashboard

    • Constructing Power BI Reports
    • Planning a Power BI Dashboard
    • Assembling a Power BI Dashboard

What you will learn

  • Develop a strong understanding of core concepts and best practices
  • Apply theoretical knowledge to real-world projects
  • Build practical skills through hands-on exercises
  • Improve problem-solving and critical-thinking abilities
  • Learn to plan, execute, and optimize projects effectively
  • Communicate ideas and strategies clearly and professionally
  • Use industry-standard tools and techniques confidently
  • Manage time and resources efficiently to meet deadlines
  • Work collaboratively and adapt to team environments
  • Analyze performance and implement data-driven improvements
  • Gain confidence to apply your learning in a professional setting
  • Prepare for advanced learning or career opportunities in the field

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