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. 

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

## Learning Pandas with IMDB-Movies Dataset
***Time for some real fun!*** We have learned how to create DataFrames already. Now we are going to explore the many operations that can be performed on them. 

To make this step more engaging and fun, we are going to work with the ***IMDB Movies Dataset***. The IMDB dataset is a publicly available dataset that contains information about 14,762 movies. Each row consists of a movie and for each movie we have information like title, year of release, director, number of awards, rating, duration etc. Sounds fun to explore, right? Let's put our data scientist's hat on, and dive into the world of the movies! 🔎🎥

# Learning Pandas with IMDB-Movies Dataset
***Time for some real fun!*** We have learned how to create DataFrames already. Now we are going to explore the many operations that can be performed on them. 

To make this step more engaging and fun, we are going to work with the ***IMDB Movies Dataset***. The IMDB dataset is a publicly available dataset that contains information about 14,762 movies. Each row consists of a movie and for each movie we have information like title, year of release, director, number of awards, rating, duration etc. Sounds fun to explore, right? Let's put our data scientist's hat on, and dive into the world of the movies! 🔎🎥

Python Fundamentals for Data Science

The Fundamentals of Statistics

Machine Learning 101

End-to-End Machine Learning Project

The Real Talk

Pandas DataFrame Operations - Read, View and Extract Information

Learning Pandas with IMDB-Movies Dataset