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- Play & PauseCourse Videos
- VideoRecorded Lectures
- Learn onMobile/PC/Tablet
- Quizzes andReal Projects
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What you'll learn?
- Working with Excel using Python
Course Overview
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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