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fix(curriculum): Update data analysis slides and question for first section (#42418)

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Co-authored-by: Mrugesh Mohapatra <1884376+raisedadead@users.noreply.github.com>
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Beau Carnes
2021-06-10 10:16:52 -04:00
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curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/introduction-to-data-analysis.md
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@ -10,31 +10,30 @@ dashedName: introduction-to-data-analysis
More resources: More resources:
\- [Slides](https://docs.google.com/presentation/d/1fDpjlyMiOMJyuc7_jMekcYLPP2XlSl1eWw9F7yE7byk) \- [Slides](https://docs.google.com/presentation/d/1cUIt8b2ySz-85_ykfeuuWsurccwTAuFPn782pZBzFsU/edit?usp=sharing)
# --question-- # --question--
## --text-- ## --text--
Why should you choose R over Python for data analysis? Which of the following is **not** part of Data Analysis?
## --answers-- ## --answers--
It's simple to learn. Building statistical models and data visualizations.
--- ---
It's better at dealing with advanced statistical methods. Picking a desired conclusion for the analysis.
--- ---
There are many powerful libraries that support R. Fixing incorrect values and removing invalid data.
--- ---
It's free and open source. Transforming data into an appropriate data structure.
## --video-solution-- ## --video-solution--
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