ds-interview-resources

Guide to Getting a Data Scientist Job in APAC 🌏

A collection of awesome resources to prepare for Data Science Interviews 🗣️ in Asia-Pacific

🙌 Feel free to send a pull request to update these resources!

Data Science

Top Data Science Roles in 2020

Based on this article

Role	Average Salary ($)
Data Scientist	139,840
Machine Learning Engineer	114,826
Machine Learning Scientist	114,121
Applications Architect	113,757
Enterprise Architect	110,663
Data Architect	108,278
Infrastructure Architect	107,309
Data Engineer	102,864
Business Intelligence (BI) Developer	81,514
Statistician	76,884
Data Analyst	62,453

Question and Answers

• OVER 100 Data Scientist Interview Questions and Answers! by Terence Shin
• Top 50 Data Science Interview Questions and Answers by guru99
• Data Science Interview Questions by hackr.io
• Top 100 Data science interview questions by Nitin Panwar
• Springboard 109 Data Science Interview Questions and Answers
• DS interviews - therotical and technical questions
• zhiqiangzhongddu/Data-Science-Interview-Questions-and-Answers-General
• kojino/120-Data-Science-Interview-Questions
• 50 MOST POPULAR DATA SCIENCE QUESTIONS ASKED IN INTERVIEWS 2021 by Analytics Insight (No answers)

Skills

Mathematics

Linear Algebra

• Essence of linear algebra by 3Blue1Brown
• Linear Algebra and Learning from Data (2019)

Stats & probability

• Introduction to Probability and Statistics by MIT
• All of Statistics
• Statistical Inference via Data Science

Calculus

• Essence of calculus by 3Blue1Brown
• Multivariarble Calculus by MIT

Programming

Python

• Google’s Python Course
• Applied Data Science with Python — UMich
• IBM Data Science Professional Certificate

SQL

• Mode’s SQL tutorial for Data Analysis
• FreeCodeCamp — Full Database Course for Beginners
• SQL for Data Science — UC Davis

Julia

• Introduction to Computational Thinking
• julia website

R

• R for Data Science
• Data Science specialization with R by JHU

Git

• git doc
• atlassian git tutorials
• try git

Machine Learning

• Learning from Data by CalTech
• Machine Learning
• Introduction to Statistical learning

Deep Learning

• Neural networks by 3Blue1Brown
• Fast AI

Business Acumen

1. Find the domain you’re passionate about.
2. Discover great books, articles, and podcasts that will help you effectively pick up skills in this domain.
3. Join communitites and build a network.
4. Find mentors

Bonus

ML-Ops resources

• visenger/awesome-mlops

Data Engineering resources

• Awesome Data Engineering
• Data Engineering Resources

Advice for international jobs

1. Learn the local language if possible, even if it’s just greetings and thank you
2. Go to the country to get a visa, even if it’s for something like an English teacher position. It’s much easier to interview and be taken seriously when you’re already in your target country.

Job boards

Japan

• Bitgrit jobs
• Japan Dev
• Daijob
• Rakuten’s global data science team

Singapore

• JobStreet
• JobsDB
• Efinancialcareers

Malaysia

• JobStreet
• Glassdoors
• careerjet

Australia

• Jora
• Indeed
• Seek

South Korea

• glassdoor
• jooble
• linkedin

Other awesome Data Sciecne interview repos

• Cracking-the-Data-Science-Interview by ml874
• cracking-the-data-science-interview by khanhnamle1994

Data Science resources repos

• academic/awesome-datascience
• tirthajyoti/Data-science-best-resources
• cdeweyx/DS-Career-Resources

More resources

• The Big List of Data Science Interview Resources

Concluding advice/CTA

1. Learn from courses and books
2. Apple what you learn with personal projects
3. Choose a few important ones and present them on GitHub 
4. Apply for jobs
5. Refresh concepts with resources to prepare for interview