MS Excel Automation Excel Data Analysis with Python

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 OpenPyxlIntroduction to Excel - Excel Python-based Libraries, Installation of openpyxl, Creating a Basic File to Insert Data into Excel using openpyxlCreating Workbook & Sheet - Inserting Data into the Cell, Accessing Cell(s), Loading a File, Comments, Saving FileInserting Image - Merging and Unmerging Cells, Formatting Text, Alignment, Border, Background ColorRead-Only Mode - Write-Only Mode, openpyxl with Pandas, openpyxl with NumpyCreating Charts in Excel using openpyxl - Column Chart, Bar Chart, Line Chart, Area Chart, Bubble ChartConditional Formatting - Greater Than a Specific Value, Less Than a Specific Value, Equal to a Specific Value, Contain Specific Value, Between Values, The First 5 Records Highlights, The Last 5 Records HighlightsSorting - Filtering, Print Settings in ExcelTable with openpyxl - Table Creation, Inserting New Row and Data, Inserting New Column and Data, ROW Background Color Change, Column Background Color ChangeWorking with Formulas - Protecting and Securing Workbooks, Data Validation in CellAfter this MS Excel Automation with Python, Student able to:Understand the fundamentals of Excel and its functionalities. Work with Excel files using Python-based libraries like openpyxl. Install and utilize openpyxl for creating, reading, and manipulating Excel files programmatically.

Create workbooks and sheets, insert data into specific cells, access cell values, and modify cell content. Load existing Excel files, add comments to cells, and manage file-saving operations. Perform advanced operations such as inserting images, merging and unmerging cells, and formatting text, alignment, borders, and cell background colors.