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 Duration 7 hours

Course Outline

Introduction

Theoretical Foundations of Data Analysis

  • Core principles of data analysis
  • Key objectives of data analysis
  • Methodological approaches for data analysis

Excel in Data Science

  • Ensuring data consistency
  • Data types utilized 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 with Excel

  • Inserting and manipulating PivotCharts
  • Inserting and working with PowerPivots
  • Mail merge techniques
  • Linking and duplicating worksheets
  • Freezing panes for efficient viewing
  • Splitting windows for multitasking
  • Applying conditional formatting
  • Defining and using named ranges
  • Utilizing Excel Web Queries
  • Leveraging Power Excel functions

Integrating Power BI and Excel

  • Importing Excel data into Power BI via Power View
  • Embedding Excel workbooks into the Power BI Portal

Data Cleansing in Power BI

  • Unpivoting cross-tabulation data for cleanup
  • Processing multiple cross-tabulation datasets
  • Consolidating data from multiple tabs and sheets

Databases and Reporting in Power BI

  • Replacing VLOOKUP with relationship models
  • Building calculated columns
  • Creating custom date tables
  • Managing reports and visual elements
  • Filtering reports to explore specific data views
  • Publishing reports to the Power BI Portal

DAX within Power BI

  • Defining calculated columns
  • Grouping text data
  • Applying Bin Analysis
  • Creating and adding measures
  • Comparative analysis of past and current data

Summary and Conclusion

Requirements

  • A solid grasp of fundamental Excel concepts.

Target Audience

  • Data Analysts

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