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Python for Excel Automation Master Data Processing Reporting
Rating: 3.0 out of 5(12 ratings)
3,474 students

Python for Excel Automation Master Data Processing Reporting

Python to automate Excel reports, dashboards, and data processing for smarter business insights and time savings
Created byLearnify IT
Last updated 4/2026
English
English [Auto],

What you'll learn

  • Automate Excel tasks and reports using Python
  • Work with Excel files using Pandas, OpenPyXL, XlsxWriter, and xlwings
  • Perform data cleaning, manipulation, and analysis directly in Python
  • Create automated dashboards, charts, and summaries
  • Integrate Python scripts with Excel for real-time data updates
  • Streamline repetitive workflows like formatting, importing, and exporting data

Course content

1 section • 12 lectures • 5h 3m total length

  • Introduction31:20

    Explore Excel automation with Python, understanding its benefits and typical tasks. Learn to use openpyxl and pandas to read, write, clean data, summarize data, and create reports.

  • Overview of Commonly used Libraries Openpyxl, Pandas, Xlsxwriter, Pywin3248:10
  • Opening Existing Excel Workbooks & Reading Cell Values, Rows, and Columns40:46

    Learn to open existing Excel workbooks with Python, read cell values, rows, and columns, and build and automate datasets using pandas and openpyxl for Excel automation.

  • Writing Data Into Cells & Saving and Renaming Workbooks19:48

    Learn to write data into specific cells and save and rename Excel workbooks. Understand workbooks, worksheets, and cells with openpyxl in Python.

  • Creating New Workbooks and Worksheets & Deleting and Renaming Sheets24:10

    Learn to automate Excel with Python by creating, adding, and managing workbooks and worksheets, including renaming and deleting sheets with openpyxl.

  • Applying font Styles, Colors, and Alignment Merging and Unmerging Cells30:10
  • Adjusting Colum Widths and Row Heights & Adding Borders and Number Formatting23:40

    Learn to automate Excel styling with Python by adjusting column widths and row heights, applying borders, and formatting numbers (currency, percentage, date) using openpyxl.

  • Adding Filters and Freezing Panes22:51
  • Reading Excel Files Into Pandas DataFrames, Exploring and Cleaning Data Dropping25:44

    Read Excel files into pandas dataframes and explore data using shape, info, and describe. Clean data by dropping nulls and replacing values, then save back to Excel with openpyxl.

  • Class Project 119:53

    Learn to automate Excel chart creation with Python using the XLS writer library. Build workbooks, write data, and insert bar, line, and pie charts for data visualization and reporting.

  • Class Project 216:40

    Automate Excel highlighting by applying conditional formatting with Python using the Open Pi Excel library, creating a workbook, adding data, and saving the file.

  • How to Take Help of AI for Python for Excel Automation Master Data Processing

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Requirements

  • No experience required

Description

Are you tired of repeating the same Excel tasks manually? This course will teach you how to automate Excel with Python, saving hours of work, improving accuracy, and turning you into a productivity expert.

Whether you are an Excel power user, data analyst, or business professional, learning Python Excel automation will help you streamline workflows, clean and analyze data efficiently, and generate automated reports that make decision-making faster.

What You Will Learn

  • How to automate Excel tasks using Python without VBA

  • Read, write, and modify Excel files using OpenPyXL, Pandas, and xlwings

  • Generate automated reports and dashboards from spreadsheets

  • Perform data cleaning and analysis in Python for Excel automation

  • Automate repetitive workflows like data imports, formatting, and chart creation

  • Integrate Python scripts with Excel for real-time data processing

  • Save time, reduce human error, and make Excel work for you

Tools and Technologies Covered

  • Python 3 basics for automation

  • Pandas for data manipulation

  • OpenPyXL and XlsxWriter for Excel automation

  • Win32Com for controlling Excel application

  • xlwings for two-way integration between Python and Excel

Who This Course Is For

  • Anyone who wants to learn Python for Excel automation and reporting

Why Learn Excel Automation with Python?

Python is a modern alternative to VBA. With just a few lines of code, you can automate Excel reporting, perform advanced data analysis, and connect Excel with databases or APIs. By the end of this course, you will have a portfolio of real-world Excel automation projects that you can apply immediately at work.

Who this course is for:

  • Anyone aiming to enhance productivity and gain job-ready automation skills

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