Ace the Data Science Interview: 201 Real Interview Questions vs Data Science from Scratch: First Principles with Python
Overall winner: Ace the Data Science Interview: 201 Real Interview Questions
Key Differences
Ace the Data Science Interview (Nick Singh, Kevin Huo) targets interview prep with structured questions by difficulty and detailed explanations, making it better for candidates aiming at FAANG/startup interviews. Data Science from Scratch (Joel Grus) focuses on first principles with Python and is positioned as a clear, beginner-friendly introduction with concise content and value for money, though its code examples and pacing draw mixed opinions
Ace the Data Science Interview: 201 Real Interview Questions
A focused guide with real data science interview questions across difficulty levels, including thorough explanations and practical tips. Customers praise its structured approach and comprehensive coverage for interview prep
Pros
- structured question set by difficulty
- comprehensive data science coverage
- clear explanations and practical tips
- well-organized content
Cons
- N/A from customer data
Data Science from Scratch: First Principles with Python
Introductory data science book covering foundational concepts with Python. Helpful for starting your data science journey, with concise explanations. Customer note: clear content but mixed views on code examples
Pros
- clear content
- good for starting data science
- concise introduction
- value for money
Cons
- mixed feedback on code examples
- mixed readability/pacing
- lacks coverage of widely used Python libraries
Head-to-Head
| Criteria | Winner |
|---|---|
| Price | Joel Grus |
| Durability | Tie |
| Versatility | Nick Singh, Kevin Huo |
| User Reviews | Nick Singh, Kevin Huo |