[GET] MS Excel Automation | Excel Data Analysis with Python

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MS Excel Automation | Excel Data Analysis with Python
Excel Python Bootcamp | Revolutionize Your Excel Workflow with Python Automation and Data Analysis
Rating: 4.6 out of 5
(106 ratings)
19,621 students
7.5 hours on-demand video
1 practice test
Assignments
9 articles
1 downloadable resource

Description
Introduction to MS Excel Automation | Excel Data Analysis with Python

The 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 OpenPyxl

Introduction to Excel - Excel Python-based Libraries, Installation of openpyxl, Creating a Basic File to Insert Data into Excel using openpyxl

Creating Workbook and Sheet - Inserting Data into the Cell, Accessing Cell(s), Loading a File, Comments, Saving File

Inserting Image - Merging and Unmerging Cells, Formatting Text, Alignment, Border, Background Color

Read-Only Mode - Write-Only Mode, openpyxl with Pandas, openpyxl with Numpy

Creating Charts in Excel using openpyxl - Column Chart, Bar Chart, Line Chart, Area Chart, Bubble Chart

Conditional 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 Highlights

Sorting - Filtering, Print Settings in Excel

Table with openpyxl - Table Creation, Inserting New Row and Data, Inserting New Column and Data, ROW Background Color Change, Column Background Color Change

Working with Formulas - Protecting and Securing Workbooks, Data Validation in Cell

After 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.

Handle Excel files in read-only and write-only modes using openpyxl.

Integrate openpyxl with Pandas and Numpy libraries for data manipulation and analysis within Excel files.

Generate various types of charts (e.g., column, bar, line, area, bubble) in Excel using openpyxl.

Apply conditional formatting to highlight cells based on specific conditions.

Implement sorting, filtering, and print settings programmatically in Excel.

Manage tables in Excel, insert data, and customize appearance by changing row and column background colors.

Work with formulas within Excel files using Python and understand workbook security techniques like data validation and protection settings.



https://www.udemy.com/course/ms-excel-automation-excel-data-analysis-with-python/?couponCode=7116483EC791AC358D36

Enjoy!