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Course Outline

Introduction

Theoretical Foundations of Data Analysis

  • Core principles of data analysis
  • Strategic objectives of data analysis
  • Methodological approaches to data analysis

Excel and Data Science Fundamentals

  • Ensuring data consistency
  • Data types utilized within Excel

Power BI Overview

  • Key processes 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 within Excel

  • Insertion and manipulation of PivotCharts
  • Insertion and manipulation of PowerPivots
  • Executing mail merges
  • Linking and duplicating worksheets
  • Freezing panes for navigation
  • Splitting windows for multitasking
  • Applying conditional formatting rules
  • Defining and using named ranges
  • Utilizing Excel Web Query
  • Working with Power Excel functions

Integrating Power BI with Excel

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

Data Cleansing in Power BI

  • Cleaning cross-tab data using unPivot
  • Processing multiple cross-tab datasets
  • Combining data from various tabs and sheets

Databases and Reporting in Power BI

  • Using relationships to replace VLOOKUP operations
  • Creating calculated columns
  • Constructing custom date tables
  • Managing reports and visual elements
  • Filtering reports to view specific data subsets
  • Publishing reports to the Power BI Portal

Advanced DAX and Power BI

  • Adding calculated columns for advanced logic
  • Performing text grouping operations
  • Applying Bin Analysis techniques
  • Defining and adding measures
  • Comparing historical data with current metrics

Summary and Conclusion

Requirements

  • Foundational proficiency in Microsoft Excel.

Target Audience

  • Data Analysts
 7 Hours

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