MS Excel Automation | Excel Data Analysis with Python

Faisal Zamir
Last Update June 3, 2024
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About This Course

In this comprehensive course, learn how to automate MS Excel tasks and perform data analysis efficiently using Python. From basic operations to advanced techniques like chart creation, conditional formatting, and formula application, master the art of Excel automation with Python.


Learning Objectives

Utilize Python libraries for Excel automation, including OpenPyXl.
Perform basic operations such as creating workbooks, worksheets, and inserting data into cells.
Explore advanced Excel functionalities like conditional formatting, sorting, and data validation using Python.
Create dynamic visualizations such as charts and graphs directly in Excel using Python.

Material Includes

  • Notes
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  • Basic knowledge of Python programming language.
  • Familiarity with MS Excel and its basic functionalities.
  • Install Python and required libraries such as OpenPyXl (installation instructions provided).
  • Access to a computer with MS Excel installed for practicing Excel automation tasks.

Target Audience

  • Data analysts and professionals seeking to automate Excel tasks and streamline data analysis workflows.
  • Python developers interested in integrating Python with Excel for enhanced data processing capabilities.
  • Business professionals looking to optimize their Excel-based workflows and reporting processes.
  • Students and learners interested in acquiring practical skills for Excel automation and data analysis using Python.

Your Instructors

Faisal Zamir

29 Courses
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Excel data openpyxl analysis with python JAFRICODE

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Duration 6.8 hours

Material Includes

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