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

Machine learning (ML) is a term that is often thrown around as if it is some kind of magic that once applied to your data, will create wonders! If we look at all the articles about machine learning on planet Internet, we will stumble upon articles of two types: heavy academic descriptions filled with complicated jargon or fluff talk about machine learning being a magic pill. 




In these series of lessons, we are going to have a simple introduction to the subject so that we can grasp the fundamentals well. We will dive into the practical aspects of machine learning using Python’s Scikit-Learn package via an end-to-end project. 

>Please note that this is not meant to be a comprehensive introduction to the field of machine learning; that is a large subject and necessitates a full course of its own! 

The goals of this series of lessons are:
- To introduce the fundamental concepts of machine learning.
- To learn about several of the most important machine learning algorithms and develop an intuition into how they work and when and where they are applicable.
- To get an understanding of what are the necessary steps and how they can be applied to a machine learning project via a real end-to-end example. 

Python Fundamentals for Data Science

The Fundamentals of Statistics

Machine Learning 101

End-to-End Machine Learning Project

The Real Talk

Introduction