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Python Excel (OpenPyXL) Programming with Coding Exercises

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2:17:59

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  • 1 - Introduction to Openpyxl.mp4
    02:39
  • 1 - OpenPyxl-with-Coding-Exercises.zip
  • 1 - Practice Test 1.html
  • 2 - Lesson 01.html
  • 3 - Coding Exercises with Solutions.mp4
    06:26
  • 4 - Basic Cell Operations.mp4
    02:43
  • 5 - Lesson 02.html
  • 6 - Coding Exercises with Solutions.mp4
    06:13
  • 7 - Formatting Cells.mp4
    02:38
  • 8 - Lesson 03.html
  • 9 - Coding Exercises with Solutions.mp4
    06:18
  • 10 - Working with Formulas and Functions.mp4
    02:46
  • 11 - Lesson 04.html
  • 12 - Coding Exercises with Solutions.mp4
    06:09
  • 13 - Manipulating Data with Python.mp4
    17:07
  • 14 - Lesson 05.html
  • 15 - Coding Exercises with Solutions.mp4
    06:33
  • 16 - Working with Charts.mp4
    14:34
  • 17 - Lesson 06.html
  • 18 - Coding Exercises with Solutions.mp4
    06:33
  • 19 - Advanced Excel Operations.mp4
    11:51
  • 20 - Lesson 07.html
  • 21 - Coding Exercises with Solutions.mp4
    06:23
  • 22 - Automating Excel Tasks.mp4
    09:01
  • 23 - Lesson 08.html
  • 24 - Coding Exercises with Solutions.mp4
    06:59
  • 25 - Integrating Openpyxl with Other Libraries.mp4
    06:10
  • 26 - Lesson 09.html
  • 27 - Coding Exercises with Solutions.mp4
    07:13
  • 2 - Practice Test 2.html
  • 28 - RealWorld Projects.mp4
    02:55
  • 29 - Lesson 10.html
  • 30 - Coding Exercises with Solutions.mp4
    06:48
  • Description


    Automate Excel Tasks and Enhance Data Handling with Python's openpyxl

    What You'll Learn?


    • How to use the openpyxl library to automate Excel tasks efficiently.
    • Techniques for creating, modifying, and formatting Excel files with Python.
    • Methods for automating data entry, calculations, and report generation.
    • Practical skills in handling complex Excel functions and integrating them with Python.

    Who is this for?


  • Data analysts and financial professionals looking to automate Excel tasks.
  • Python developers seeking to expand their skills in data manipulation.
  • Professionals who regularly work with Excel and want to improve their efficiency through automation.
  • What You Need to Know?


  • Basic understanding of Python programming.
  • Familiarity with Excel and its basic functionalities.
  • More details


    Description

    In today’s data-driven world, the ability to efficiently handle and manipulate Excel files is crucial for professionals across various industries. Python Excel (openpyxl) Programming with Coding Exercises is a comprehensive course designed to teach you how to harness the power of Python's openpyxl library to automate Excel tasks and streamline data processing workflows. Whether you’re a data analyst, financial professional, or a programmer, this course will equip you with the skills needed to automate repetitive tasks, handle large datasets, and generate reports dynamically.

    The need for this course arises from the widespread use of Excel in business environments and the growing demand for automation to save time and reduce errors. While Excel is a powerful tool, performing repetitive tasks manually can be time-consuming and prone to mistakes. By leveraging Python with openpyxl, you can automate processes such as data entry, report generation, and complex calculations, freeing up time for more strategic work.

    Throughout the course, you’ll engage in hands-on coding exercises covering essential topics, including:

    • Introduction to the openpyxl library and its functionalities

    • Creating and manipulating Excel workbooks, sheets, and cells

    • Automating data entry and calculations

    • Formatting Excel sheets, including styling cells, rows, and columns

    • Handling complex Excel functions and formulas with Python

    • Reading and writing data from/to Excel files

    • Generating dynamic reports with Python automation

    Each exercise is designed to build your proficiency in Python and Excel integration, preparing you to tackle real-world challenges with confidence.

    Instructor Introduction: Your instructor, Faisal Zamir, is a seasoned Python developer with over 7 years of teaching experience. Faisal's deep understanding of Python programming and his practical approach to teaching ensure that you'll gain valuable skills that are immediately applicable in your professional work.

    30 Days Money-Back Guarantee: We are confident in the value this course provides, which is why we offer a 30-day money-back guarantee. If you're not completely satisfied, you can request a full refund—no questions asked.

    Certificate at the End of the Course: Upon completing the course, you’ll receive a certificate that validates your expertise in Python and Excel automation, making it a valuable addition to your professional credentials.

    Who this course is for:

    • Data analysts and financial professionals looking to automate Excel tasks.
    • Python developers seeking to expand their skills in data manipulation.
    • Professionals who regularly work with Excel and want to improve their efficiency through automation.

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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 20
    • duration 2:17:59
    • Release Date 2025/02/23