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Course Outline

Introduction

Theoretical Foundations of Data Analysis

  • Principles of data analysis
  • Objectives of data analysis
  • Methodologies for data analysis

Excel and Data Science

  • Ensuring data consistency
  • Excel data types

Overview of Power BI

  • Processes and Power products utilized in Power BI

Setting Up the Development Environment

  • Installing and configuring Excel
  • Installing and configuring Power BI

Business Data Analysis in Excel

  • Inserting and working with PivotCharts
  • Inserting and working with PowerPivots
  • Mail merging
  • Linking and duplicating sheets
  • Freezing panes
  • Splitting windows
  • Applying conditional formatting
  • Defining named ranges
  • Using Excel Web Query
  • Utilizing advanced Excel functions

Integrating Power BI and Excel

  • Importing data from Excel to Power BI using Power View
  • Incorporating Excel into the Power BI Portal

Data Cleaning in Power BI

  • Cleaning cross-tabulated data with unpivoting
  • Cleaning multiple cross-tabulated datasets
  • Merging data from multiple tabs and sheets

Databases and Reports in Power BI

  • Eliminating VLOOKUP by using relationships
  • Creating calculated columns
  • Building a custom date table
  • Working with reports and visuals
  • Filtering reports and viewing data
  • Publishing reports to the Power BI Portal

DAX and Power BI

  • Adding calculated columns
  • Text grouping
  • Applying Bin Analysis
  • Creating measures
  • Comparing historical and current data

Summary and Conclusion

Requirements

  • A fundamental understanding of Excel.

Audience

  • Data Analysts
 7 Hours

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