Patrick

Angelcrc Seven

👋 Hello Faisal! Your detailed curriculum and biography provide a comprehensive overview of the MS Excel Automation with Python course, including its objectives, the skills students will gain, your educational background, professional experience, teaching style, and what students can do using the OpenPyXL Python library. Additionally, you've highlighted the key features and capabilities of Excel data analysis that students can expect to learn through this course.

The 30-day money-back guarantee is a strong incentive for potential students, ensuring they can trust the value of the course and make an informed decision without risk.

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Introduction to MS Excel Automation | Excel Data Analysis with PythonThe course "MS Excel Automation | Excel Data Analysis with Python" offers a comprehensive guide to using Python with Microsoft Excel to perform advanced data analysis and automate repetitive tasks.The course introduces the basic concepts of Excel automation with Python libraries like openpyxl and demonstrates how to create and manipulate workbooks and sheets.The students will learn to insert and format data, including merging and unmerging cells, adding comments, and applying conditional formatting. The course also covers various chart types, including column, line, pie, and bubble charts, and how to use formulas and data validation in Excel.Additionally, the course teaches the students how to protect and secure workbooks and apply filters and sorting.Upon completion of the course, the students will have a solid understanding of how to use Python with Excel to automate data analysis tasks and enhance their productivity. Outlines for this course MS Excel Automation with OpenPyxlChapter 01:Introduction to ExcelExcel Python-based LibrariesInstallation openpyxlCreating a basic file to insert data into Excel using openpyxl Chapter 02:Creating Workbook &amp; SheetInserting Data into the cellAccessing cell(s)Loading a fileCommentsSaving file Chapter 03:Inserting imageMerging and unmerging cellFormatting textAlignmentBorderBackground color Chapter 04:Read-only modeWrite only modeOpenpyxl with PandasOpenpyxl with Numpy Chapter 05:Creating Charts in Excel using OpenPyXl:Column chartBar chartLine chartArea chartBubble chart Chapter 06:Conditional FormattingGreater than a specific valueLess than a specific valueEqual to a specific valueContain specific valueBetween valuesThe first 5 records highlightsThe last 5 records highlights Chapter 07:SortingFilteringPrint setting in Excel Chapter 08:Table with openpyxlTable creationInserting new row and inserting dataInserting new column and inserting dataROW Background Color ChangeColumn Background Color Change Chapter 09:Working with Formulas:Protecting and Securing Workbooks:Data Validation in Cell After this MS Excel Automation with Python, Student able to:<ul><li>Understand the fundamentals of Excel and its functionalities.</li><li>Work with Excel files using Python-based libraries like openpyxl.</li><li>Install and utilize openpyxl for creating, reading, and manipulating Excel files programmatically.</li><li>Create workbooks and sheets, insert data into specific cells, access cell values, and modify cell content.</li><li>Load existing Excel files, add comments to cells, and manage file-saving operations.</li><li>Perform advanced operations such as inserting images, merging and unmerging cells, and formatting text, alignment, borders, and cell background colors.</li><li>Handle Excel files in read-only and write-only modes using openpyxl.</li><li>Integrate openpyxl with Pandas and Numpy libraries for data manipulation and analysis within Excel files.</li><li>Generate various types of charts (e.g., column, bar, line, area, bubble) in Excel using openpyxl.</li><li>Apply conditional formatting to highlight cells based on specific conditions.</li><li>Implement sorting, filtering, and print settings programmatically in Excel.</li><li>Manage tables in Excel, insert data, and customize appearance by changing row and column background colors.</li><li>Work with formulas within Excel files using Python and understand workbook security techniques like data validation and protection settings.</li></ul>Instructor Experiences and Education:Faisal Zamir is an experienced programmer and an expert in the field of computer science. He holds a Master's degree in Computer Science and has over 7 years of experience working in schools, colleges, and university. Faisal is a highly skilled instructor who is passionate about teaching and mentoring students in the field of computer science.As a programmer, Faisal has worked on various projects and has experience in multiple programming languages, including PHP, Java, and Python.He has also worked on projects involving web development, software engineering, and database management. This broad range of experience has allowed Faisal to develop a deep understanding of the fundamentals of programming and the ability to teach complex concepts in an easy-to-understand manner.As an instructor, Faisal has a proven track record of success. He has taught students of all levels, from beginners to advanced, and has a passion for helping students achieve their goals.Faisal has a unique teaching style that combines theory with practical examples, which allows students to apply what they have learned in real-world scenarios.Overall, Faisal Zamir is a skilled programmer and a talented instructor who is dedicated to helping students achieve their goals in the field of computer science. With his extensive experience and proven track record of success, students can trust that they are learning from an expert in the field. What you can do with OpenPyXL Python Library1. Create new Excel workbooks and worksheets.2. Read and write data to Excel spreadsheets.3. Format Excel cells with fonts, colors, borders, and alignment.4. Merge and unmerge cells in Excel.5. Create charts, such as column, line, pie, and scatter charts, in Excel.6. Add images to Excel spreadsheets.7. Use conditional formatting to highlight cells that meet specific criteria.8. Sort and filter data in Excel.9. Create tables in Excel.10. Validate data entered into Excel cells.11. Work with Excel formulas, including functions and operators.12. Protect Excel workbooks with passwords and user permissions.13. Control print settings in Excel. 30-day money-back guarantee for MS Excel Automation | Excel Data Analysis with PythonA 30-day money-back guarantee is offered for the MS Excel Automation | Excel Data Analysis with Python course.If for any reason you are not satisfied with the course content or feel that it does not meet your expectations, you can request a refund within 30 days of purchase. Thank youFaisal Zamir

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

Programming Languages

MS Excel Automation | Excel Data Analysis with Python

Faisal Zamir

nothing clear about installation applications. it has to be explained from scratch. I understood nothing. And very silent audio. And uclear.

MS Excel Automation | Excel Data Analysis with Python

What you will 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

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