Roadmap | Notion

what is the best coding problems I can practice if I want to get prepared for data science and machine leaning jobs in the companies not that big like FANG.

ChatGPT said:

That’s a smart and practical approach — preparing for data science and machine learning jobs at non-FANG companies means you can focus on problem-solving and real-world coding, not just ultra-hard algorithm puzzles. Here’s a clear, structured guide for what kinds of problems to practice and where to find them:

🎯 1. Core Skill Areas to Cover

✅ A. Python + Problem Solving

You’ll often be tested on Python fluency and logic.
Focus on:
- List/dict/set operations
- Loops and comprehensions
- File I/O
- Basic recursion and iteration

Practice:

Leetcode Easy to Medium problems
HackerRank Python Challenges

✅ B. Data Structures & Algorithms (Selective)

You don’t need deep graph theory or segment trees, but you do need:

Topic	What to know (and why)
Arrays/Strings	Most common data types in datasets
HashMaps/Sets	Efficient lookup, frequency counting
Sorting	Custom sort logic for data pre-processing
Sliding Window	Time-series, streaming data
Two Pointers	Efficient comparisons, deduplication
Heaps / Priority Q	Useful in top-k problems, recommender systems
Binary Search	Useful in threshold finding, time optimization
Recursion / DFS	Tree-like data structures (JSON, XML, etc.)

Recommended Leetcode Tags:

"Hash Table"
"Array"
"Two Pointers"
"Binary Search"