Requirements
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You should have basic knowledge of MS Excel
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You should have basic knowledge python with beginner level experince
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You did not need to buy extra software or course
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
Chapter 01:
Introduction to Excel
Excel Python-based Libraries
Installation openpyxl
Creating a basic file to insert data into Excel using openpyxl
Chapter 02:
Creating Workbook & Sheet
Inserting Data into the cell
Accessing cell(s)
Loading a file
Comments
Saving file
Chapter 03:
Inserting image
Merging and unmerging cell
Formatting text
Alignment
Border
Background color
Chapter 04:
Read-only mode
Write only mode
Openpyxl with Pandas
Openpyxl with Numpy
Chapter 05:
Creating Charts in Excel using OpenPyXl:
Column chart
Bar chart
Line chart
Area chart
Bubble chart
Chapter 06:
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
Chapter 07:
Sorting
Filtering
Print setting in Excel
Chapter 08:
Table with openpyxl
Table creation
Inserting new row and inserting data
Inserting new column and inserting data
ROW Background Color Change
Column Background Color Change
Who this course is for:
- Business Analysts and Data Analysts who want to automate their Excel tasks and perform data analysis more efficiently using Python.
- Students and Professionals who want to learn how to use Python to automate Excel tasks and perform data analysis.
- Excel Users who want to enhance their knowledge and skills by learning how to integrate Python with Excel for automation and data analysis.
- Financial Analysts who work with large datasets and want to learn how to use Python to analyze and visualize financial data in Excel.
- Entrepreneurs and Small Business Owners who want to automate their business processes and analyze their data using Python and Excel.
- Researchers who want to use Python to automate data collection, analysis, and visualization in Excel.
- Anyone who wants to learn how to use Python to automate Excel tasks and perform data analysis, regardless of their prior experience with Excel or Python.
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