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Course Outline

Introduction

Theoretical Foundations of Data Analysis

  • Core principles of data analysis
  • Primary objectives of data analysis
  • Strategic approaches for data analysis

Excel and Data Science

  • Ensuring data consistency
  • Data types commonly used in Excel

Power BI Overview

  • Workflows and Power products integrated within Power BI

Setting Up the Development Environment

  • Installation and configuration of Excel
  • Installation and configuration of Power BI

Business Data Analysis using Excel

  • Creating and managing PivotCharts
  • Implementing and using PowerPivots
  • Executing mail merge tasks
  • Linking and duplicating worksheets
  • Freezing panes for easier navigation
  • Splitting window views
  • Applying conditional formatting rules
  • Defining named ranges
  • Utilizing Excel Web Query
  • Employing Power Excel functions

Integrating Power BI with Excel

  • Transferring data from Excel to Power BI using Power View
  • Embedding Excel content into the Power BI Portal

Data Cleaning in Power BI

  • Transforming cross-tabulated data using unPivot
  • Managing multiple sets of cross-tabulated data
  • Aggregating data from various tabs and sheets

Databases and Reporting in Power BI

  • Establishing relationships to replace VLOOKUP functions
  • Defining calculated columns
  • Building custom date tables
  • Managing reports and visual elements
  • Filtering reports and exploring data insights
  • Deploying reports to the Power BI Portal

DAX and Power BI

  • Implementing calculated columns
  • Grouping text data
  • Utilizing Bin Analysis
  • Creating measures
  • Analyzing historical versus current data trends

Summary and Wrap-up

Requirements

  • Foundational knowledge of Microsoft Excel.

Intended Audience

  • Data Analysts
 7 Hours

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