Move from Excel to Python with Pandas Transcripts
Chapter: Course conclusion and review
Lecture: Excel challenges

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0:00 you finished all the chapters, so let's take a step through each one and pull out some of the key concept so we can bring all of it together.
0:08 But before I do that, I definitely want to wish you congratulations for your accomplishment in completing this course. I realize it's a takes,
0:17 Ah, lot of effort and dedication if all through on these videos, and do these exercises on your own.
0:23 And I hope that you learned a lot through this course, and as we wrap this up, I'm gonna give you a few final tips so you can apply this in your day
0:31 to day work. We started out the course talking about some of the challenges with
0:36 Excel. One of the biggest challenges is Excel is the only tool that people know so frequently. It's the wrong tool for the job.
0:44 Once you start solving a problem with Excel, there is no process. Well, it's very challenging to understand where you started,
0:51 what data transformation she made and how you got to the final result. Along those lines, it's also difficult to find errors and excel.
0:58 There are a lot of subtle ways that Excel can break and be challenging free to resolve. And then finally, performance is a big issue with Excel.
1:06 In this day and age, where we have plenty of data sets with millions and millions of Rose, Excel just doesn't work with those large data sets.

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