Control Excel with Python & OpenPyXL

Become an Excel Power User with Python & OpenPyXL
4.19 (954 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
Control Excel with Python & OpenPyXL
6 620
students
3 hours
content
Jul 2023
last update
$29.99
regular price

Why take this course?

🎓 Course Title: Control Excel with Python & OpenPyXL

🛠️ Course Headline: 🚀 Become an Excel Power User with Python & OpenPyXL


Course Description

Are you tired of manually editing countless spreadsheets? Do you want to streamline your data analysis and reporting processes with the power of Python? If so, this is the course for you! 🖥️✨

Requirements:

  • Basic Python knowledge: Don't worry if you're not an expert coder – we'll cover each code snippet step by step.
  • Computer with Python 3 installed: We'll guide you through the installation of OpenPyXL.
  • Spreadsheet program: Whether it's Microsoft Excel, LibreOffice Calc, or Google Sheets, any spreadsheet application will do.

What You Can Expect:

This course is a comprehensive guide to mastering the control and automation of Excel using Python with OpenPyXL. From creating charts to inserting formulas, this course will cover all the essentials. 📊🔧

  • Automate Excel tasks: Learn how to perform advanced sorts and filters, create and manipulate spreadsheets, and much more.
  • Real-world applications: Discover practical ways to enhance your everyday work with OpenPyXL, from formatting to data analysis.
  • Career potential: Gain the skills that could land you a job or help you stand out in your current role by showcasing your newfound expertise.

What You'll Learn:

After taking this course, you will be able to:

  • Create and manipulate Workbooks and Sheets within Excel using Python.
  • Read cell data, whether it's with absolute or relative references.
  • Iterate over cells and perform actions, such as reading data from each cell or updating them.
  • Delete rows and columns with precision.
  • Insert formulas and tables to automate calculations and organize data.
  • Format spreadsheets using fonts, colors, and different cell types for better readability and professional presentation.
  • Save and create files and folders, and even interact with open and save file dialogs.
  • Understand the broader applications of your new skills to solve real-world problems and automate tedious tasks.

Who is this course for?

This course is ideal for:

  • Beginners to Python: If you're interested in controlling and automating Excel with minimal coding experience, this course will get you started.
  • Data enthusiasts: Ideal for those who want to extract or add data on multiple spreadsheets or automate the creation of spreadsheets from input data.
  • Excel experts: For those who already know their way around Excel and want to expand their capabilities with Python.
  • Professionals seeking efficiency: If you're looking for ways to make your workflow more efficient by automating mundane tasks, this course is a game-changer.
  • Consultants: For those aiming to start or enhance consulting services by offering Excel automation solutions.

Embark on your journey to becoming an Excel Power User with Python & OpenPyXL today! 🚀📈

Join me, Conny Söderholm, and let's unlock the full potential of your spreadsheet wizardry. Sign up now and transform the way you interact with Excel forever! 🌟

Course Gallery

Control Excel with Python & OpenPyXL – Screenshot 1
Screenshot 1Control Excel with Python & OpenPyXL
Control Excel with Python & OpenPyXL – Screenshot 2
Screenshot 2Control Excel with Python & OpenPyXL
Control Excel with Python & OpenPyXL – Screenshot 3
Screenshot 3Control Excel with Python & OpenPyXL
Control Excel with Python & OpenPyXL – Screenshot 4
Screenshot 4Control Excel with Python & OpenPyXL

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Comidoc Review

Our Verdict

Geared towards Excel power users looking to automate workbooks with Python, this course provides a solid foundation in controlling Excel using OpenPyXL. However, those seeking greater depth or integration with other data analysis libraries may be left craving more practical examples and advanced techniques.

What We Liked

  • Covers the basics of OpenPyXL and how to control Excel with Python
  • Real-world examples and exercises make concepts easy to grasp
  • Responsive instructor provides clear explanations for learner's questions
  • Includes helpful Python code extras and techniques

Potential Drawbacks

  • Lack of intermediate and advanced projects may leave learners wanting more
  • Limited integration with other popular Python packages, such as pandas and matplotlib
  • Some content organization issues create confusion for beginners
  • Audio volume in some videos could be increasedfor better accessibility
2471444
udemy ID
22/07/2019
course created date
10/01/2020
course indexed date
Lee Jia Cheng
course submited by