Udemy

Python MS Excel Automation | Learn Excel Data Analysis

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  • 28,146 Students
  • Updated 10/2025
  • Certificate Available
4.4
(212 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 55 Minute(s)
Language
English
Taught by
Faisal Zamir, Jafri Code, Pro Python Support
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.4
(212 Ratings)
1 views

Course Overview

Python MS Excel Automation | Learn Excel Data Analysis

Excel Python Bootcamp | Revolutionize Your Excel Workflow with Python Automation and Data Analysis | Roll Plays Included

Introduction to MS Excel Automation | Excel Data Analysis with Python

I’m thrilled to share something that can completely change the way you work with Excel. In today’s fast-paced, data-driven world, Python programming is not just a nice-to-have skill — it’s essential. If you’ve ever felt stuck doing the same Excel tasks over and over again, this course is designed to free you from that cycle.

Instead of spending hours on repetitive tasks, imagine running a simple Python script and letting automation handle everything for you — formulas, formatting, charts, conditional logic, sorting, filtering, and more. That’s not just productivity, that’s transformation.

This course is your bridge between Excel and Python, empowering you to think like a programmer and act like a true data professional. Whether you are an accountant, a student, a beginner in data science, or someone simply tired of repetitive Excel work, this course will give you the confidence to step into the world of Python data analysis.

Why Take This Course?

Because it’s not just about learning Excel or Python — it’s about learning to save time, work smarter, and unlock career opportunities. By the end of this course, you’ll look back at your old way of working in Excel and wonder why you didn’t start sooner.

If Angela Yu can inspire millions to start mastering Python, you can take this as your first step into Python for data analysis, Python for finance, and even broader fields like data science and machine learning (NumPy, Pandas, SciPy, Matplotlib). This course is 100% beginner-friendly, yet powerful enough to give you real-world skills that matter.

Course Purpose

The purpose of this course is simple:  make Excel smarter with Python Coding.

You’ll learn how to:

  • Automate Excel spreadsheets step by step with openpyxl

  • Create and manipulate workbooks and sheets with Python

  • Apply formatting, formulas, charts, and conditional logic programmatically

  • Save hours of manual work by mastering Excel automation

Course Outline

  • Introduction to Excel & Python – Why Python for Excel, installing openpyxl

  • Workbooks & Sheets – Create, read, write, and protect Excel files

  • Formatting & Styling – Fonts, borders, colors, merging/unmerging cells

  • Charts in Excel – Automate bar, line, pie, bubble, and area charts

  • Conditional Formatting – Rules for greater than, top 5, last 5, and more

  • Formulas & Validation – Insert formulas, secure files, validate input

  • Sorting, Filtering, Tables – Automating Excel’s most-used features

Who Is This Course For?

  • Students exploring Python programming for productivity

  • Data analysts, accountants, and professionals who rely on Excel

  • Beginners eager to learn Excel automation as a first step into data science

  • Anyone tired of repetitive Excel tasks and looking to save time with automation

Final Words

This is not just another Excel tutorial. This is a mindset shift — from doing things the slow way to working smartly with Python. By enrolling, you’re not only learning automation, you’re building confidence, opening doors to data analysis, data science, and Python for finance, and taking the first step towards mastering tools like NumPy, Pandas, Matplotlib, and SciPy down the road.

Stop wasting time on repetitive work.

Enroll today and turn Excel into a powerful, automated data analysis tool with Python!

Faisal Zamir

Course Content

  • 16 section(s)
  • 82 lecture(s)
  • Section 1 Course Overview
  • Section 2 Course Last Update 27 October, 2025
  • Section 3 Prerequisite Lectures before Python OpenPYxl
  • Section 4 Python with Excel Chapter 01
  • Section 5 Python with Excel Chapter 02
  • Section 6 Python with Excel Chapter 03
  • Section 7 Python with Excel Chapter 04
  • Section 8 Python with Excel Chapter 05
  • Section 9 Python with Excel Chapter 06
  • Section 10 Python with Excel Chapter 07
  • Section 11 Python with Excel Chapter 08
  • Section 12 Python with Excel Chapter 09
  • Section 13 Mini Projects for Practice
  • Section 14 Python OpenPyXL Projects
  • Section 15 Updated Section
  • Section 16 Practice Test

What You’ll Learn

  • Automate Excel tasks using Python-based libraries like openpyxl.
  • Create, modify, and format Excel workbooks and sheets using openpyxl.
  • Insert and manipulate data, comments, and images in Excel using openpyxl.
  • Generate various types of charts such as column, line, bar,area, bubble, using openpyxl.
  • Read and write Excel files using openpyxl in read-only or write-only modes.
  • Apply conditional formatting to cells using built-in or custom rules.
  • Configure print settings in Excel for better printing results.
  • Filter and sort data in Excel for better data analysis.
  • Work with tables and apply data validation in cells.
  • Use formulas to perform calculations in Excel.
  • Protect and secure Excel workbooks using openpyxl.
  • Data Validation with Excel using Openpyxl


Reviews

  • A
    Akan Ekanem
    5.0

    Getting better

  • S
    Shalu
    5.0

    super good

  • C
    Cristopher Escote
    5.0

    Very clear discussion and informative, I learn a lot, thank you so much for sharing this knowledge to us.

  • O
    Oluwaseun Albert
    5.0

    good

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