Resources for revision:

1. Coursera algorithms Algorithms - Part 1 | Algorithms - Part 2

2. Basics of SQL SQL for data science

3. Machine learning revision notes createmomo.github.io

4. Deep Learning Andrew NG class notes Slideshare

5. Data Science Interviews Github

Resources for practice:

1. Medium to advanced but good algorithms and data structures
   1. https://cp-algorithms.com/
   2. https://cp-algorithms.com/graph/depth-first-search.html

2. Algorithms tutorial

   1. Good content on dynamic programming, sorting, searching, heaps, trees, BST

   Back To Back SWE

3. Advanced concepts

   1. Segment trees, RMQ, Tree basics (good)

   2. https://www.youtube.com/playlist?list=PLZU0kmvryb_HZpDW2yfn-H-RxAu_ts6xq

   3. Coding practice

4. For lifetime: https://codeforces.com/

5. For interviews: https://leetcode.com/