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 Data Manipulation With Pandas

*There are some ingredients, like salt, without which almost no dish is complete. Pandas is just like salt — some need more and some less, but almost every data science project needs it.*

Pandas is a very powerful and popular package built on top of NumPy. It provides an efficient implementation of data objects built on NumPy arrays and many powerful data operations. These kind of operations are known as ***data wrangling*** --- steps required to prepare the data so that it can actually be consumed for extracting insights and model building. 

This might surprise you, but data preparation is what takes the longest in a data science project!



# Learning Data Manipulation With Pandas

*There are some ingredients, like salt, without which almost no dish is complete. Pandas is just like salt — some need more and some less, but almost every data science project needs it.*

Pandas is a very powerful and popular package built on top of NumPy. It provides an efficient implementation of data objects built on NumPy arrays and many powerful data operations. These kind of operations are known as ***data wrangling*** --- steps required to prepare the data so that it can actually be consumed for extracting insights and model building. 

This might surprise you, but data preparation is what takes the longest in a data science project!



Python Fundamentals for Data Science

The Fundamentals of Statistics

Machine Learning 101

End-to-End Machine Learning Project

The Real Talk

Learning Pandas - An Introduction

Learning Data Manipulation With Pandas