How to become a data scientist? I get this question a lot. So, starting a thread. I dont recommend R. Python is more practical. So, here goes. You will be a mid-level expert at the end of this.

#DataScientists #innovations #Data #DataAnalytics
Step 1 -: Learn Python. I'm recommending a Kaggle course This is incomplete. But, you will learn as you progress.
https://www.kaggle.com/learn/python 

Price : Free.

#DataScientists #kaggle #innovations
Step 2 -:
Kaggle micro-course: Pandas
Pandas is going to give us the skills to start manipulating data in Python.
Duration -: 4 hours
Price -: Free. https://www.kaggle.com/learn/pandas 
Step 3 -: Kaggle micro-course: Data Visualization
Data visualization is perhaps one of the most underrated skills but it is one of the most important to have. It will allow you to fully understand the data with which you will be working.

https://www.kaggle.com/learn/data-visualization

Price: Free
Kaggle micro-course: Intro to Machine Learning

You are going to learn basic but very important concepts to start training machine learning models.

It gets Interesting Now.

https://www.kaggle.com/learn/intro-to-machine-learning

Price: Free
Intermediate Machine Learning

This is complementary to the previous one but here you are going to work with categorical variables for the first time and deal with null fields in your data.

https://www.kaggle.com/learn/intermediate-machine-learning

Price: Free.
Now, the Real story starts.
Kaggle Playground Competitions

Apply and Learn classification in this.

Understand Metrices like

Accuracy, Precision, Recall.(You should know bias and variance much earliar) https://www.kaggle.com/c/titanic 
Book: The Elements of Statistical Learning

Necessary to Understand the Statistics behind what makes ML Work.

There is a free version in this Stanford Page.
https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf
You can follow @DataGuyRedux.
Tip: mention @twtextapp on a Twitter thread with the keyword “unroll” to get a link to it.

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