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Free Download Udemy - Excel+Python OpenPyXL For Data Analysis and Visualization Published: 3/2025 Created by: John Su MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 94 Lectures ( 5h 39m ) | Size: 3.21 GB Workbook, worksheet, range, chart, formula, pivot table, conditional formatting, etc. What you'll learn OpenPyXL: Excel Object Model OpenPyXL: Data analysis OpenPyXL: Excel charts, conditional formatting OpenPyXL: Pivot table Requirements Know python Description This course will teach you many things about OpenPyXL that the website of OpenPyXL, Google and ChatGPT can't tell you.Applications, workbooks, worksheets and cell rangesFormulas and functionsChartsPivot TablesConditional Formatting...OpenPyXL does not rely on Excel, suitable for software development. Lightweight and flexible, supports object models, powerful functionality, cross-platform.. The general process of using OpenPyXL includes three steps: import OpenPyXL package, data processing and quit the application.In OpenPyXL object model, the main objects include Workbook, Worksheet and Range, many related operations introduced in the course. Formulas and functions can be used with OpenPyXL easily. You can input general formulas and array formulas in the worksheet, most of the worksheet functions can be used in the forumlas.And also, OpenPyXL can be used to create many different types of charts in Excel worksheet. Please note that, these charts are Created by: Excel graphing engine, but not Matplotlib graphing engine, so, these charts can be editted easily by Excel.OpenPyXL can be used to refresh and edit existing pivot tables. Few people know these operations, and also Google and ChatGPT.OpenPyXL can also be used to create and edit conditional formattings such as data bars, color scales, icon sets, etc. Who this course is for Excel users, python users, etc. Homepage: https://www.udemy.com/course/excelpython-openpyxl-for-data-analysis-and-visualization/ [b]AusFile[/b] https://ausfile.com/lym40q03627w/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part1.rar.html https://ausfile.com/v284i0y8bqmh/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part2.rar.html https://ausfile.com/z5y27law93o7/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part3.rar.html https://ausfile.com/0eyvo2yqgz8g/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part4.rar.html Rapidgator https://rg.to/file/8cf871fca0c158f4ac9506d0e25bc563/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part1.rar.html https://rg.to/file/61a2ebfe27885552646679ab6008d9e6/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part2.rar.html https://rg.to/file/e729ecc9ded70994d1e91a18417a6d1e/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part3.rar.html https://rg.to/file/48e1a798933fc0c0e85a9561ef6ee6f6/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part4.rar.html Fikper Free Download https://fikper.com/Qijul3DwGT/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part1.rar.html https://fikper.com/LqnjdUYwez/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part2.rar.html https://fikper.com/Kg6eezYCVU/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part3.rar.html https://fikper.com/1imtHFjVoP/lagvz.ExcelPython.OpenPyXL.For.Data.Analysis.and.Visualization.part4.rar.html No Password - Links are Interchangeable

Free Download Python Excel (Openpyxl) Programming With Coding Exercises Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 365.78 MB | Duration: 2h 46m 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. Requirements Basic understanding of Python programming. Familiarity with Excel and its basic functionalities. 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 functionalitiesCreating and manipulating Excel workbooks, sheets, and cellsAutomating data entry and calculationsFormatting Excel sheets, including styling cells, rows, and columnsHandling complex Excel functions and formulas with PythonReading and writing data from/to Excel filesGenerating dynamic reports with Python automationEach 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. Overview Section 1: Introduction to Openpyxl Lecture 1 Introduction to Openpyxl Lecture 2 Lesson 01 Lecture 3 Coding Exercises with Solutions Section 2: Basic Cell Operations Lecture 4 Basic Cell Operations Lecture 5 Lesson 02 Lecture 6 Coding Exercises with Solutions Section 3: Formatting Cells Lecture 7 Formatting Cells Lecture 8 Lesson 03 Lecture 9 Coding Exercises with Solutions Section 4: Working with Formulas and Functions Lecture 10 Working with Formulas and Functions Lecture 11 Lesson 04 Lecture 12 Coding Exercises with Solutions Section 5: Manipulating Data with Python Lecture 13 Manipulating Data with Python Lecture 14 Lesson 05 Lecture 15 Coding Exercises with Solutions Section 6: Working with Charts Lecture 16 Working with Charts Lecture 17 Lesson 06 Lecture 18 Coding Exercises with Solutions Section 7: Advanced Excel Operations Lecture 19 Advanced Excel Operations Lecture 20 Lesson 07 Lecture 21 Coding Exercises with Solutions Section 8: Automating Excel Tasks Lecture 22 Automating Excel Tasks Lecture 23 Lesson 08 Lecture 24 Coding Exercises with Solutions Section 9: Integrating Openpyxl with Other Libraries Lecture 25 Integrating Openpyxl with Other Libraries Lecture 26 Lesson 09 Lecture 27 Coding Exercises with Solutions Section 10: Real-World Projects Lecture 28 Real-World Projects Lecture 29 Lesson 10 Lecture 30 Coding Exercises with Solutions 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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