In 2024, using Python in Excel for data wrangling isn't a great idea. Surprised? All will be clear when you consider how Python in Excel works behind the scenes.
Data wrangling is one of the most important tasks in analytics.
Estimates are 60-80% of the time required for analytics projects (especially advanced analytics projects) is spent on acquiring, filtering, cleaning, combining, enriching, and transforming data.
As a hands-on analytics professional, I can tell you this is no exaggeration!
Trust me. You want to use the best technology for your data wrangling.
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VIDEO CHAPTERS
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00:00 Intro
01:04 Python in Excel Architecture
02:49 Data Wrangling Options
05:52 Python in Excel Wrangling Exceptions
07:36 Python in Excel’s Future
#pythoninexcel #pythonexcel #pythonforexcel
