pandas Analytics for Excel Users.
(eVideo)
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Contributors
Published
Carpenteria, CA linkedin.com, 2023.
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Description
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Format
eVideo
Language
English
Notes
General Note
7/24/202312:00:00AM
Participants/Performers
Presenter: Madecraft
Description
Learn how to manipulate and analyze data from Microsoft Excel using pandas, the open-source analytic software library built into the Python programming language.
Description
Python comes with its own built-in software library for data manipulation and analysis. It’s called pandas, and it’s an extremely fast and powerful open-source tool that lets you analyze data more efficiently—right from a spreadsheet in Microsoft Excel. Learn the basics of pandas analytics in this course designed specifically for Excel users, following advice from instructor and Excel MVP George Mount. Get up and running with your first moves in pandas, summarizing and visualizing data, working with rows and columns, cleaning data, and working with dates and times. Along the way, practice your skills using real-world data with an end-to-end analysis drawn from baseball. This course was created by Madecraft. We are pleased to host this training in our library.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
, M., & Mount, G. (2023). pandas Analytics for Excel Users . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide), Madecraft and George Mount. 2023. Pandas Analytics for Excel Users. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide), Madecraft and George Mount. Pandas Analytics for Excel Users linkedin.com, 2023.
MLA Citation, 9th Edition (style guide), Madecraft, and George Mount. Pandas Analytics for Excel Users linkedin.com, 2023.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
8904a793-110c-1bcb-d718-ea577393257f-eng
Grouping Information
| Grouped Work ID | 8904a793-110c-1bcb-d718-ea577393257f-eng |
|---|---|
| Full title | pandas analytics for excel users |
| Author | madecraft |
| Grouping Category | movie |
| Last Update | 2024-06-24 15:56:06PM |
| Last Indexed | 2024-07-07 00:13:24AM |
Book Cover Information
| Image Source | sideload |
|---|---|
| First Loaded | Oct 24, 2023 |
| Last Used | Jul 7, 2024 |
Marc Record
| First Detected | Aug 24, 2023 01:27:43 PM |
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| Last File Modification Time | Jun 24, 2024 04:03:32 PM |
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