Learn Data Science with $0

According to Harvard Business Reviews 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 is the sexiest job of the 21st century.

Demand for Data Science roles is increasing exponentially. Here are all the resources/roadmap I used to learn Data Science with $0.

1. Programming Language

→ Python is the best language, to begin with for data science.

→ To learn Python I suggest this fantastic YT tutorial by

@freeCodeCamp https://youtu.be/LHBE6Q9XlzI

→ It covers most of the stuff you need to know as a beginner and has an end project.

2. Data Analysis

→ After Learning Python, get your hands dirty with projects around data cleaning, and data manipulation using pandas & NumPy.

→ Data Analysis is the heart of Data Science projects. Data Visualization is the easiest and most efficient way to perform analysis.

→ For learning it, I would suggest going with Kaggle courses http://kaggle.com/learn

→ Once You are done with Kaggle courses and want to level up the game I would suggest learning Tableau if you want to. → Best YT video to learn about Tableau:

→ Another important part of Analysis is SQL, I used this book for learning MySQL:https://drive.google.com/file/d/1f7CY3yvf5mWUBCu4WhcJ3Paheg21ztWS/view

3. Machine Learning

→ I just used two resources to learn 90% of Machine Learning

1. @Krishnaik06 YT Playlist

2. http://kaggle.com/learn

→ If you get stuck somewhere or want to learn something that’s not covered in these two go for a blog on

@TDataScience @towards_AI

→ For a deep understanding of concepts and how they actually work behind the scenes, I always go to @joshuastarmer YT videos. Great explanations with lots of BAMS!

4. Deep Learning

→ The best course to learn about Deep Learning is undoubtedly Practical Deep Learning For Coders by @fastdotai

→ There are other important skills like data scrapping that you need to be good at.

→ Also, the learning will never stop and You will come across something that you will need to learn and might not be included anywhere on any roadmap so you always have to explore on your own.

→ But to start your career in Data Science, the resources I mentioned here will be more than efficient for you.

→ These are what I have followed it might not be the best way but it worked for me and I hope the same for you.