Gain insights into data science with easy-to-follow, hands-on explanations. Explore essential concepts quickly and efficiently, even without prior statistics knowledge, for a career boost.

GrokkingDataScientist.tar.gz

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

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"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

# Time to Test Your Skills!

**Note**: We are going to create a DataFrame called *"df"* in the first exercise, and we will keep referring to the same DataFrame as our input in the rest of the exercises.


## Q1. Create a DataFrame from the given dictionary data and index labels and store it in the variable called "df".

import pandas as pd

# Input 
data = {'Artist': ['Ariana Grande', 'Taylor Swift', 'Ed Sheeran', 'Justin Bieber', 'Lady Gaga', 'Bruno Mars'],
        'Genre': ['Jazz', 'Rock', 'Jazz', 'Pop', 'Pop', 'Rock'],
        'Listeners': [1300000, 2700000, 5000000, 2000000, 3000000, 1100000]}

labels = ['AG', 'TS', 'ED', 'JB', 'LG', 'BM']

# Your solution goes here

# Uncomment the print statement once done
# print(df)

import pandas as pd

# Input 
data = {'Artist': ['Ariana Grande', 'Taylor Swift', 'Ed Sheeran', 'Justin Bieber', 'Lady Gaga', 'Bruno Mars'],
        'Genre': ['Jazz', 'Rock', 'Jazz', 'Pop', 'Pop', 'Rock'],
        'Listeners': [1300000, 2700000, 5000000, 2000000, 3000000, 1100000]}

labels = ['AG', 'TS', 'ED', 'JB', 'LG', 'BM']

df = pd.DataFrame(data, index=labels)
print(df)

## Q2. a) Select the column labelled "Listeners" and store it in the variable called "col". b) Select the first row and store it in the variable called "row".

(Remember, we are still using the DataFrame called *df*.)


Python Fundamentals for Data Science

The Fundamentals of Statistics

Machine Learning 101

End-to-End Machine Learning Project

The Real Talk

Exercises: Pandas

Time to Test Your Skills!