Analyze Data in Excel with Python Programming (2024)

2024 Data Analyzing MS Excel | Excel with Python Programming

Empower Your Excel Skills with Python: Master Data Manipulation, Visualization, and Automation!

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Last Updated: 2024-11-26 07:11:43 English Course Type: Self Learning

Working with Excel using Python

MS Excel | Excel with Python Programming

This comprehensive course on utilizing Python with Excel delves into various facets essential for mastering data manipulation and visualization within Excel using openpyxl. The journey commences with

Chapter 01, providing an in-depth introduction to Excel, highlighting Python-based libraries and guiding through the installation process of openpyxl.

In Chapter 02, learners will explore fundamental functions such as creating workbooks, inserting data into cells, accessing and manipulating cell values, and understanding comments, thus establishing a solid foundation.

Moving on to Chapter 03, participants will grasp advanced Excel operations including inserting images, merging and unmerging cells, and implementing various formatting techniques such as text formatting, alignment adjustments, borders, and background color alterations.

Chapter 04 builds upon these skills by demonstrating read-only and write-only modes, integrating openpyxl with Pandas and Numpy for seamless data handling.

Chapter 05 introduces the creation of diverse charts – column, bar, line, area, and bubble charts – empowering learners to visualize data effectively.

Furthermore, Chapter 06 unveils the power of conditional formatting, allowing for customized formatting based on specific criteria or record positions.

Chapters 07 and 08 delve into data management techniques, encompassing sorting, filtering, and setting print options while also delving into table creation, row and column manipulation, and background color adjustments.

The course culminates with Chapter 09, focusing on the application of formulas, workbook security measures, and cell data validation, providing a comprehensive toolkit for efficient and secure data handling within Excel using Python.

Basic Python

Data Analysts: Those seeking to enhance their data manipulation and visualization skills within Excel using Python to streamline workflows and perform advanced data analysis.
Python Programmers: Professionals proficient in Python looking to expand their expertise to include Excel manipulation and data handling for diverse projects.
Business Professionals: Managers, executives, or professionals in finance, marketing, or operations aiming to optimize data processing, visualization, and reporting in Excel through Python automation.
Students and Researchers: Those pursuing studies in data science, statistics, or any field requiring data analysis, seeking to leverage Python's capabilities in conjunction with Excel for data management and visualization.
IT Professionals: Individuals in IT roles interested in integrating Python functionalities with Excel for tasks like automated reporting, data extraction, or customizing Excel operations.
Entrepreneurs and Startups: Individuals managing or launching startups who need to efficiently handle and visualize data within Excel, seeking automation through Python for better decision-making processes.
Anyone Seeking Automation in Excel: Individuals looking to automate repetitive Excel tasks, create dynamic reports, or visualize data in a more sophisticated manner using Python.

Section 1 : Chapter 01 6 Lectures 00:00:00
Lecture 1 :
Chapter 01 Excel with Python Preview
Lecture 2 :
Introduction to Excel
Lecture 3 :
Libraries used for Excel with Python
Lecture 4 :
Installation for OpenPyXl for Excel with Python
Lecture 5 :
Example 01
Lecture 6 :
Example 02
Section 2 : Chapter 02 13 Lectures 00:00:00
Lecture 1 :
Chapter 02 Excel with Python
Lecture 2 :
Creating a Workbook
Lecture 3 :
Creating a worksheet
Lecture 4 :
Inserting data into cell Ex1
Lecture 5 :
Inserting data into cell Ex2 and Ex3
Lecture 6 :
Accessing cell data Ex1
Lecture 7 :
Accessing cell data Ex2
Lecture 8 :
Accessing cell data Ex3
Lecture 9 :
Accessing cell data Ex4
Lecture 10 :
Accessing cell data Ex5
Lecture 11 :
Loading a File
Lecture 12 :
Comments in Excel with openpyxl
Lecture 13 :
Saving a file in openpyxl
Section 3 : Chapter 03 7 Lectures 00:00:00
Lecture 1 :
Chapter 03 Excel with Python
Lecture 2 :
Inserting Images in Excel
Lecture 3 :
Merging and Unmerging in Excel
Lecture 4 :
Formatting Text in Excel with Python
Lecture 5 :
Alignment in Excel with Python
Lecture 6 :
Border in Excel with Python
Lecture 7 :
Background color in Excel with Python
Section 4 : Chapter 04 5 Lectures 00:00:00
Lecture 1 :
Outline Chapter 04 Openpyxl Excel
Lecture 2 :
Read Only Mode with Openpyxl
Lecture 3 :
Write Only Mode with Openpyxl
Lecture 4 :
Openpyxl with Pandas Example
Lecture 5 :
Openpyxl with Numpy Example
Section 5 : Chapter 05 6 Lectures 00:00:00
Lecture 1 :
Outline Chapter 05 Openpyxl Excel
Lecture 2 :
Creating Column chart in Excel with Python
Lecture 3 :
Bar Chart in Excel with Python
Lecture 4 :
Create Line Chart in Excel with Python
Lecture 5 :
Area Chart in Excel with Python
Lecture 6 :
Bubble Chart in Excel with Python
Section 6 : Chapter 06 10 Lectures 00:00:00
Lecture 1 :
Excel with OpenPyXl Chapter 06 Outline
Lecture 2 :
Conditional Formatting with Greater Value highlight
Lecture 3 :
Conditional Formatting with Less Value highlight
Lecture 4 :
Conditional Formatting with Equal Value highlight
Lecture 5 :
Conditional Formatting with Between Value highlight
Lecture 6 :
Conditional Formatting with First records highlight
Lecture 7 :
Conditional Formatting with Last records highlight
Lecture 8 :
Tasks 1 and Solution
Lecture 9 :
Tasks 2 and Solution
Lecture 10 :
Tasks 3 and Solution
Section 7 : Chapter 07 4 Lectures 00:00:00
Lecture 1 :
Excel with OpenPyXl Chapter 07 Outline
Lecture 2 :
Sorting in Excel with Openpyxl
Lecture 3 :
Filter in Excel with OpenPyXl
Lecture 4 :
Print Setting with Openpyxl
Section 8 : Chapter 08 6 Lectures 00:00:00
Lecture 1 :
Excel with OpenPyXl Chapter 08 Outline
Lecture 2 :
Table Creating in openpyxl
Lecture 3 :
Inserting row and data in table
Lecture 4 :
Inserting Column with Openpyxl
Lecture 5 :
ROW background color with openpyxl
Lecture 6 :
Column background color with openpyxl
Section 9 : Chapter 09 6 Lectures 00:00:00
Lecture 1 :
Excel with OpenPyXl Chapter 09 Outline
Lecture 2 :
How to set Furmula in Excel with Openpyxl
Lecture 3 :
Excel Forumulas with Openpyxl
Lecture 4 :
More Excel formulas with Openpyxl
Lecture 5 :
Protect Workbook and Sheet with Openpyxl
Lecture 6 :
Data Validation with Openpyxl

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Faisal Zamir,

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29 Courses

Hello, my name is Faisal Zamir and I am a Master of Computer Science with over 7 years of experience in teaching. I have a passion for teaching and have dedicated my career to educating students on various topics related to web designing, web development, and programming languages such as Python, PHP, JavaScript, C++, C#, and more. As an instructor, I believe in providing students with a comprehensive learning experience that goes beyond just theory. That's why I always provide programming examples, discussion (Q&A), quizzes, assignments, problems with solutions, exercises, and more to ensure that my students have a hands-on approach to learning. My courses are designed to provide students with lifetime access to all course materials and resources, as well as ongoing support. I am committed to helping my students achieve their goals, whether it's to improve their skills for personal or professional reasons. In addition to teaching, I have also worked on various projects in the field of computer science and have acquired practical experience in implementing programming concepts in real-world scenarios. I bring this experience into my teaching to provide my students with a practical and relevant education. Thank you for considering my courses and I look forward to helping you achieve your goals in the world of computer science.