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What you'll learn?
- Working with Excel using Python
Course Overview
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.
Pre-requisites
- Basic Python
Target Audience
- 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.
Curriculum 63 Lectures
-
Section 1 : Chapter 01
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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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Instructor
500023 Course Views
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.
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