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!
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 |
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- Introduction to Probability and Statistics by MIT
- All of Statistics
- Statistical Inference via Data Science
- Google's Python Course
- Applied Data Science with Python — UMich
- IBM Data Science Professional Certificate
- Mode’s SQL tutorial for Data Analysis
- FreeCodeCamp — Full Database Course for Beginners
- SQL for Data Science — UC Davis
- Find the domain you're passionate about.
- Discover great books, articles, and podcasts that will help you effectively pick up skills in this domain.
- Join communitites and build a network.
- Find mentors
- Learn the local language if possible, even if it’s just greetings and thank you
- 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.
- Cracking-the-Data-Science-Interview by ml874
- cracking-the-data-science-interview by khanhnamle1994
- Learn from courses and books
- Apple what you learn with personal projects
- Choose a few important ones and present them on GitHub
- Apply for jobs
- Refresh concepts with resources to prepare for interview