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Python Excel Automation for Data Analysis (2026)
Role Play
28,217 students
Python Excel Automation for Data Analysis (2026)
Automate Excel tasks using Python, Pandas, and OpenPyXL for data analysis, reporting, and real-world workflows
Created byFaisal Zamir, Jafri Code, Pro Python Support
Last updated 2/2026
English
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
Explore related topics
Course content
16 sections • 82 lectures • 7h 55m total length
Requirements
- You should have basic knowledge of MS Excel
- You should have basic knowledge python with beginner level experince
- You did not need to buy extra software or course
Description
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
Who this course is for:
- Business Analysts and Data Analysts who want to automate their Excel tasks and perform data analysis more efficiently using Python.
- Students and Professionals who want to learn how to use Python to automate Excel tasks and perform data analysis.
- Excel Users who want to enhance their knowledge and skills by learning how to integrate Python with Excel for automation and data analysis.
- Financial Analysts who work with large datasets and want to learn how to use Python to analyze and visualize financial data in Excel.
- Entrepreneurs and Small Business Owners who want to automate their business processes and analyze their data using Python and Excel.
- Researchers who want to use Python to automate data collection, analysis, and visualization in Excel.
- Anyone who wants to learn how to use Python to automate Excel tasks and perform data analysis, regardless of their prior experience with Excel or Python.