GrokkingDataScientist.tar.gz

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Master the skills that can get you a $100K+ salary even if you bunked your statistics classes. 

No need to waste hours and hours on browsing from one article to the next and piecing together the info you need to grasp important topics. No need to get overwhelmed by the information overload. Find easy to follow, hands-on, and fun explanations of all the essential topics in one place so you can quickly and efficiently learn what you need to thrive as a data scientist.

"Is this course right for me?" Continue to read to decide for yourself!

- "I want to understand this data science concept. Let me Google it". Then after hours of surfing, reading random articles, and invoking the heavens, you are more confused than before.
- "Data science is the sexiest and highest paying job of the 21st century. I want to become a data scientist too".
- "I have a basic knowledge of Python, willingness to learn, and commitment to become a great data scientist."

Is that you? If yes, you are at the right place.

Grokking Data Science

### 6. Grouping

Things start looking really interesting when we group rows with certain criteria and then aggregate their data. 

Say we want to group our dataset by director and see **how much revenue (sum) each director earned at the box-office and then also look at the average rating (mean) for each director**. We can do this by using the`groupby` operation on the column of interest, followed by the appropriate aggregate (*sum/mean*), like so:


# 6. Grouping

Things start looking really interesting when we group rows with certain criteria and then aggregate their data. 

Say we want to group our dataset by director and see **how much revenue (sum) each director earned at the box-office and then also look at the average rating (mean) for each director**. We can do this by using the`groupby` operation on the column of interest, followed by the appropriate aggregate (*sum/mean*), like so:


Python Fundamentals for Data Science

The Fundamentals of Statistics

Machine Learning 101

End-to-End Machine Learning Project

The Real Talk

Pandas DataFrame Operations - Grouping and Sorting

6. Grouping