https://img1.pixhost.to/images/11167/674614272_yxusj-b1bl8y26l1w7.jpg
Python in Excel for Beginners: From Zero to Insight
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 1h 38m | 1.36 GB
Instructor: Cedric Dezitter
Learn Python essentials, apply a 4-step framework to a case study. Practical, concise, and workflow-first. 100% in Excel
What you'll learn
[list]
[*]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
[/list]
Requirements
[list]
[*]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
[/list]
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:
[list]
[*]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
[/list]
Homepage
https://img1.pixhost.to/images/11167/674614338_yxusj-jx767j06o8jl.jpg
https://images2.imgbox.com/e9/a6/wFbX11Hm_o.jpg
RapidGator
NitroFlare
DDownload
https://ddownload.com/s3693gud1tys/yxusj.Python.in.Excel.for.Beginners.From.Zero.to.Insight.part1.rar
https://ddownload.com/x5ov3reac81g/yxusj.Python.in.Excel.for.Beginners.From.Zero.to.Insight.part2.rar
Видео
