Python is one of those languages which is present in almost all of the computer science domain, you can use it in Web Development, Software Development, Data Science, and even in building games.
Here we will talk about, how to learn python for data science?
To learn Python for Data science, all you need is 2-3 hours of daily time for another one month or so.
The strategy is simple and will not cost you much
To learn Python for Data Science you need to follow the below steps:
Step 1 – Start with any online tutorial like w3schools or tutorials point to clear your basic syntaxes.
You can also try our articles below which starts with installing Python and will take you to a decent level of syntax understanding
Links:-
Welcome to Python – https://thedatamonk.com/day-20-welcome-to-python/
Python Basics – https://thedatamonk.com/day-21-python-basics/
Conditional Statement – https://thedatamonk.com/day-22-python-2-conditional-statements/
Loops in Python – https://thedatamonk.com/day-23-loop-in-python/
Functions in Python – https://thedatamonk.com/day-24-functions-in-python/
You can also read the first one and a half hour of this Youtube tutorial – https://www.youtube.com/watch?v=mNdbcHECGN4
Step 2:- Understand Visualization in Python
Visualization – https://thedatamonk.com/day-28-visualization-in-python/
Reading and Writing Files – https://thedatamonk.com/day-27-reading-and-writing-files-in-python/
Tricky Interview Questions – https://thedatamonk.com/day-26-tricky-interview-questions-python/
Step 3 – Once you are good with the basic concepts, then directly jump to the most solved Hackathon i.e.
Kaggle Titanic Problem –
https://thedatamonk.com/kaggle-titanic-solution/
We will be appending this with other resources as well, so please bookmark this page.
The Data Monk Interview Books – Don’t Miss
Now we are also available on our website where you can directly download the PDF of the topic you are interested in. At Amazon, each book costs ~299, on our website we have put it at a 60-80% discount. There are ~4000 solved interview questions prepared for you.
10 e-book bundle with 1400 interview questions spread across SQL, Python, Statistics, Case Studies, and Machine Learning Algorithms – Ideal for 0-3 years experienced candidates
23 E-book with ~2000 interview questions spread across AWS, SQL, Python, 10+ ML algorithms, MS Excel, and Case Studies – Complete Package for someone between 0 to 8 years of experience (The above 10 e-book bundle has a completely different set of e-books)
12 E-books for 12 Machine Learning algorithms with 1000+ interview questions – For those candidates who want to include any Machine Learning Algorithm in their resume and to learn/revise the important concepts. These 12 e-books are a part of the 23 e-book package
Individual 50+ e-books on separate topics
Important Resources to crack interviews (Mostly Free)
There are a few things which might be very useful for your preparation
The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics managers, etc.
Go through the watchlist which makes you uncomfortable:-
All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics
