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Course Outline

Introduction

Theoretical Foundations of Data Analysis

  • Key principles of data analysis
  • Objectives of data analysis
  • Methodologies for data analysis

Excel and Data Science

  • Ensuring data consistency
  • Data types utilized in Excel

Overview of Power BI

  • Processes and Power products integrated into 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 techniques
  • Linking and duplicating sheets
  • Freezing panes
  • Splitting windows
  • Applying conditional formatting
  • Creating named ranges
  • Using Excel Web Query
  • Leveraging Excel Power 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-tab data with UnPivot
  • Handling multiple cross-tab datasets
  • Combining data from multiple tabs and sheets

Databases and Reports in Power BI

  • Utilizing relationships to eliminate the need for VLOOKUP
  • Creating calculated columns
  • Building a custom date table
  • Working with reports and visual elements
  • Filtering reports and viewing data
  • Publishing the report to the Power BI Portal

DAX and Power BI

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

Summary and Conclusion

Requirements

  • A foundational understanding of Excel basics.

Target Audience

  • Data Analysts
 7 Hours

Testimonials (7)

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