What You Need to Know Before
You Start

Starts 7 June 2025 18:20

Ends 7 June 2025

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Copilot in Excel - Transforming Data Analysis with Python

Discover how Copilot and Python integration in Excel revolutionize data analysis capabilities, enabling deeper insights and more efficient data-driven decision making for business intelligence.
Microsoft via YouTube

Microsoft

2544 Courses


39 minutes

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Free Video

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Overview

Discover how Copilot and Python integration in Excel revolutionize data analysis capabilities, enabling deeper insights and more efficient data-driven decision making for business intelligence.

Syllabus

  • Course Introduction
  • Overview of Copilot in Excel and Python integration
    Importance and applications in data analysis and business intelligence
  • Getting Started with Copilot in Excel
  • Setting up Copilot and Python in Excel
    Introduction to the Excel interface with Copilot features
  • Basics of Python for Excel Users
  • Core Python concepts for data analysis
    Utilizing Python libraries in Excel
    Writing and running Python scripts within Excel
  • Data Importing and Cleaning
  • Importing data into Excel using Python
    Data cleaning techniques using Python libraries such as Pandas
  • Data Analysis Techniques
  • Descriptive statistics and data summarization
    Advanced data manipulation with Python
    PivotTables and analytical models using Python in Excel
  • Visualization and Reporting
  • Creating visualizations with Python libraries like Matplotlib and Seaborn
    Building reports and dashboards integrating Excel and Python outputs
  • Automating Tasks in Excel with Python
  • Writing macros and scripts for repetitive tasks
    Using Copilot to suggest and automate data processing operations
  • Case Studies and Applications
  • Real-world examples of using Python in Excel for data analysis
    Business intelligence scenarios and problem-solving exercises
  • Capstone Project
  • Designing and implementing a comprehensive data analysis project in Excel
    Presentation and review of project outcomes
  • Course Summary and Next Steps
  • Recap of key concepts and skills learned
    Resources for further learning and exploration in data analysis with Python and Excel

Subjects

Business