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Python In Excel For Beginners: From Zero To Insight
Published 12/2025
Created by Cedric Dezitter
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 44 Lectures ( 1h 39m ) | Size: 1.35 GB[/center]
Learn Python essentials, apply a 4-step framework to a case study. Practical, concise, and workflow-first. 100% in Excel
What you'll learn
Describe how Python is integrated into Excel and navigate the interface to work with Python
Write and execute basic Python code directly in Excel to perform simple programming tasks
Use the pandas library to clean, filter, and transform Excel data for analysis
Automate routine Excel tasks with Python to increase efficiency and accuracy
Apply Python skills to solve real-world business problems, such as gperforming data analysis within Excel
Requirements
Basic Excel proficiency like formulas, formatting, charts, filters
Understanding of common Excel use cases like reports, data entry, and tables
Familiarity with Excel workbooks, cells, ranges, and how to work with data in Excel
No prior Python experience required: you will learn some Python in this course
Curiosity and an appetite to learn
Microsoft 365 with Python in Excel enabled
Description
Python in Excel for Beginners: From Zero to Insight is a practical, project-driven course for Excel users who want to unlock Python-without leaving Excel. You'll start in the Python-in-Excel environment: how the =PY() function works, what the Python card shows, how to reference ranges with xl(), and how to use the Ribbon tools and the Editor. You'll see exactly how Python and Excel talk to each other, and how to convert Python outputs to native Excel cells.Next, you'll get a focused crash course in just enough Python and pandas to be productive: variables and core types, DataFrames and Series, quick inspection (.head(), .shape, .describe(), .info()), and fixes for real-world issues (casing, spaces, types, missing values, duplicates).Finally, everything comes together in a guided case study. You'll clean a messy sales extract, standardize text and dates, convert currencies, drop duplicates, create helpful columns, and answer real business questions.By the end, you'll be able to clean and analyze data directly inside Excel using Python and pandas-producing repeatable, trustworthy results faster than with formulas alone. No prior Python required; every step is demo-first, with downloadable files and concise, bite-sized lessons you can follow at your own pace.Note: This is not a full Python/pandas course; it's a practical toolkit for Excel workflows.
Who this course is for
Excel power users who would like to explore Python
Professionals looking at streamlining data cleaning and automate repetitive calculations
Professionals looking to filter, reshape, and visualize data without leaving Excel
Anyone curious to understand how Python and Excel work together
Anyone willing to transition to more data-driven workflows (especially in finance, operations, or BI roles)
Anyone willing to discover Python without having to setup an environment
Python In Excel For Beginners: From Zero To Insight
Published 12/2025
Created by Cedric Dezitter
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 44 Lectures ( 1h 39m ) | Size: 1.35 GB[/center]
Learn Python essentials, apply a 4-step framework to a case study. Practical, concise, and workflow-first. 100% in Excel
What you'll learn
Describe how Python is integrated into Excel and navigate the interface to work with Python
Write and execute basic Python code directly in Excel to perform simple programming tasks
Use the pandas library to clean, filter, and transform Excel data for analysis
Automate routine Excel tasks with Python to increase efficiency and accuracy
Apply Python skills to solve real-world business problems, such as gperforming data analysis within Excel
Requirements
Basic Excel proficiency like formulas, formatting, charts, filters
Understanding of common Excel use cases like reports, data entry, and tables
Familiarity with Excel workbooks, cells, ranges, and how to work with data in Excel
No prior Python experience required: you will learn some Python in this course
Curiosity and an appetite to learn
Microsoft 365 with Python in Excel enabled
Description
Python in Excel for Beginners: From Zero to Insight is a practical, project-driven course for Excel users who want to unlock Python-without leaving Excel. You'll start in the Python-in-Excel environment: how the =PY() function works, what the Python card shows, how to reference ranges with xl(), and how to use the Ribbon tools and the Editor. You'll see exactly how Python and Excel talk to each other, and how to convert Python outputs to native Excel cells.Next, you'll get a focused crash course in just enough Python and pandas to be productive: variables and core types, DataFrames and Series, quick inspection (.head(), .shape, .describe(), .info()), and fixes for real-world issues (casing, spaces, types, missing values, duplicates).Finally, everything comes together in a guided case study. You'll clean a messy sales extract, standardize text and dates, convert currencies, drop duplicates, create helpful columns, and answer real business questions.By the end, you'll be able to clean and analyze data directly inside Excel using Python and pandas-producing repeatable, trustworthy results faster than with formulas alone. No prior Python required; every step is demo-first, with downloadable files and concise, bite-sized lessons you can follow at your own pace.Note: This is not a full Python/pandas course; it's a practical toolkit for Excel workflows.
Who this course is for
Excel power users who would like to explore Python
Professionals looking at streamlining data cleaning and automate repetitive calculations
Professionals looking to filter, reshape, and visualize data without leaving Excel
Anyone curious to understand how Python and Excel work together
Anyone willing to transition to more data-driven workflows (especially in finance, operations, or BI roles)
Anyone willing to discover Python without having to setup an environment
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