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Curated List of Learning Resources for the benefit of everyone. Feel free to make a PR if you wanna add something

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Learning-Resources

Curated List of Learning Resources for the benefit of everyone. Feel free to make a PR if you wanna add something.

Learning Resources

  • All the resources are free, you just need to devote your time.
  • A lot of these courses are multiple hours long, so it is recommended to watch them in multiple sittings of 30-45 minutes each.
  • Making Projects is more important than certifications.
  • Feel free to contact with others regrading any doubts or anything like that.

Complete Beginners with no prior experience in coding:

https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/lecture-videos/index.htm

Mathematics for Computer Science:

  • MIT 6.042( Mathematics for Computer Science):-

https://youtube.com/playlist?list=PLB7540DEDD482705B

C++ , Java and Python for beginners:

- C++:
  • FreeCodeCamp (recommended):

https://youtu.be/vLnPwxZdW4Y

  • CodeWithHarry:

https://youtube.com/playlist?list=PLu0W_9lII9agpFUAlPFe_VNSlXW5uE0YL

  • Java :

  • FreeCodeCamp (recommended):

https://youtu.be/grEKMHGYyns

  • ProgrammingWithMosh :

https://youtu.be/eIrMbAQSU34

  • Simplilearn:

https://youtu.be/CFD9EFcNZTQ

  • Python:

Note- Python is not recommended to pick up as a first language because it has a lot of abstraction, however python is easy to pick-up and has a lot of uses ranging from web-development to Data Science.

  • FreeCodeCamp:

https://youtu.be/rfscVS0vtbw

  • CodeWithHarry:-

https://youtu.be/gfDE2a7MKjA

  • Programming With Mosh:

https://youtu.be/_uQrJ0TkZlc

Data Structures and Algorithms:-

  • MIT 6.006 (Introduction to Algorithms) :-

Note- This course will be beneficial for people who are comfortable with the implementation of various Data structures, fairly rigorous and theoretical.

https://youtube.com/playlist?list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb

Follow-https://youtube.com/playlist?list=PL9gnSGHSqcnr_DxHsP7AW9ftq0AtAyYqJ

  • CodeWithHarry DSA (in Hindi):-

https://youtube.com/playlist?list=PLu0W_9lII9ahIappRPN0MCAgtOu3lQjQi

  • Anuj bhaiya DSA ( in Java):

https://www.youtube.com/playlist?list=PLUcsbZa0qzu3yNzzAxgvSgRobdUUJvz7p

  • Apna College C++ DSA Playlist:-

https://youtube.com/playlist?list=PLfqMhTWNBTe0b2nM6JHVCnAkhQRGiZMSJ

Competitive Programming (CP):

Competitive Programming is the application of DSA and maths to solve problems. Learn Basic DSA like arrays,strings,searching,sorting then start CP.

-Luv: https://youtube.com/playlist?list=PLauivoElc3ggagradg8MfOZreCMmXMmJ-

-CodeVerse (maths): https://youtube.com/playlist?list=PLN4aKSfpk8TQUiURV1k70At4Tj5oKb92i

-Errichto : https://www.youtube.com/playlist?list=PLl0KD3g-oDOEbtmoKT5UWZ-0_JbyLnHPZ

Web development :-

  • Web Dev Simplified (Intro):

https://youtube.com/playlist?list=PLZlA0Gpn_vH-cEDOofOujFIknfZZpIk3a

  • CodeWithHarry WebDev Playlist( in Hindi):

https://youtube.com/playlist?list=PLu0W_9lII9agiCUZYRsvtGTXdxkzPyItg

  • Dr. Joshua Bastaen WebDev Playlist( in Eng):

https://youtube.com/playlist?list=PLQSmIhc0GVPPhpBAC3y6xChtOz3RJ8abN

  • NewBoston Django Course :

https://youtube.com/playlist?list=PL6gx4Cwl9DGBlmzzFcLgDhKTTfNLfX1IK

Android development:

JAVA Tutuorials

Kotlin Tutuorials

Get started with building your first app

Official documentation

Data Science/ Machine Learning :-

  • CodeBasics ( in Python , with basics of python included):-

https://youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV

  • FreeCodeCamp (Data Analysis):-

https://youtu.be/r-uOLxNrNk8

  • Statistics For Data Science ( by Dr. Sarkar PhD , Stanford University):-

https://youtu.be/Vfo5le26IhY

  • Sentdex (Machine learning with python):-

https://youtube.com/playlist?list=PLQVvvaa0QuDfKTOs3Keq_kaG2P55YRn5v

  • Code For Cause (ML bootcamp):-

https://www.youtube.com/playlist?list=PLyzHIYrZBplo3K0dNUqppd2ynnoZPD6N1

  • Krish Naik(Machine learning):-

https://www.youtube.com/user/krishnaik06

  • Ken Jee(Data Science, Sports Analytics):-

https://www.youtube.com/channel/UCiT9RITQ9PW6BhXK0y2jaeg

  • Kaggle resources:-

Note- Follow along written tutorials with hands-on implementation of code

https://www.kaggle.com/learn

Some Popular Youtube Channels to follow :

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