A collection of Data Science Interview Questions Solved in Python and Spark
Book Details
| Author | Antonio Gulli |
|---|---|
| Publisher | |
| Published Year | 2015 |
| Pages | 107 |
| Language | English |
| ISBN-10 | 1517216710 |
| ISBN-13 | 978-1517216719 |
This practical guide offers a curated collection of real-world data science interview questions, expertly solved using Python and Apache Spark. Designed for aspiring data scientists and experienced professionals alike, the book emphasizes hands-on solutions to problems commonly encountered during technical interviews. With a focus on big data, machine learning, and scalable computing, Antonio Gulli provides clear, concise answers and code examples to help readers build confidence and sharpen their problem-solving skills.
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
Tutorials
Follow us on Linkedin
Random Blogs
- Deep Learning (DL): The Core of Modern AI
- Window Functions in SQL – The Ultimate Guide
- Grow your business with Facebook Marketing
- Where to Find Free Datasets for Your Next Machine Learning & Data Science Project
- How to Start Your Career as a DevOps Engineer
- Understanding SQL vs MySQL vs PostgreSQL vs MS SQL vs Oracle and Other Popular Databases
- Big Data: The Future of Data-Driven Decision Making
- Top 15 Recommended SEO Tools
- Understanding LLMs (Large Language Models): The Ultimate Guide for 2025
- What to Do When Your MySQL Table Grows Too Wide
- Exploratory Data Analysis On Iris Dataset
- Ideas for Content of Every niche on Reader’s Demand during COVID-19
- The Beginner’s Guide to Normalization and Denormalization in Databases
- How AI Companies Are Making Humans Fools and Exploiting Their Data
- Top 10 Knowledge for Machine Learning & Data Science Students
- The Ultimate Guide to Data Science: Everything You Need to Know
Datasets for Machine Learning
- Awesome-ChatGPT-Prompts
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset










