├── README.md └── venn_diagram.png /README.md: -------------------------------------------------------------------------------- 1 | # Guide to Getting a Data Scientist Job in APAC 🌏 2 | A collection of awesome resources to prepare for Data Science Interviews 🗣️ in Asia-Pacific 3 | 4 | 🙌 Feel free to send a [pull request](https://github.com/benthecoder/ds-interview-resources/pulls) to update these resources! 5 | 6 | ## Data Science 7 | ![venn_diagram](venn_diagram.png) 8 | 9 | ### Top Data Science Roles in 2020 10 | 11 | Based on [this article](https://www.northeastern.edu/graduate/blog/data-science-careers-shaping-our-future/) 12 | 13 | | Role | Average Salary ($) | 14 | |:------------------------------------:|:-------------------:| 15 | | Data Scientist | 139,840 | 16 | | Machine Learning Engineer | 114,826 | 17 | | Machine Learning Scientist | 114,121 | 18 | | Applications Architect | 113,757 | 19 | | Enterprise Architect | 110,663 | 20 | | Data Architect | 108,278 | 21 | | Infrastructure Architect | 107,309 | 22 | | Data Engineer | 102,864 | 23 | | Business Intelligence (BI) Developer | 81,514 | 24 | | Statistician | 76,884 | 25 | | Data Analyst | 62,453 | 26 | 27 | 28 | ## Question and Answers 29 | * [OVER 100 Data Scientist Interview Questions and Answers! by Terence Shin](https://towardsdatascience.com/over-100-data-scientist-interview-questions-and-answers-c5a66186769a) 30 | * [Top 50 Data Science Interview Questions and Answers by guru99](https://www.guru99.com/data-science-interview-questions.html) 31 | * [Data Science Interview Questions by hackr.io](https://hackr.io/blog/data-science-interview-questions) 32 | * [Top 100 Data science interview questions by Nitin Panwar](https://nitin-panwar.github.io/Top-100-Data-science-interview-questions/?utm_campaign=News&utm_medium=Community&utm_source=DataCamp.com) 33 | * [Springboard 109 Data Science Interview Questions and Answers 34 | ](https://www.springboard.com/blog/data-science-interview-questions/) 35 | * [DS interviews - therotical and technical questions](https://ds-interviews.org/) 36 | * [zhiqiangzhongddu/Data-Science-Interview-Questions-and-Answers-General](https://github.com/zhiqiangzhongddu/Data-Science-Interview-Questions-and-Answers-General-) 37 | * [kojino/120-Data-Science-Interview-Questions](https://github.com/kojino/120-Data-Science-Interview-Questions) 38 | * [50 MOST POPULAR DATA SCIENCE QUESTIONS ASKED IN INTERVIEWS 2021 by Analytics Insight](https://www.analyticsinsight.net/50-most-popular-data-science-questions-asked-in-interviews-2021/) (No answers) 39 | 40 | ## Skills 41 | 42 | ### Mathematics 43 | 44 | #### Linear Algebra 45 | 46 | * [Essence of linear algebra by 3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab) 47 | * [Linear Algebra and Learning from Data (2019)](https://math.mit.edu/~gs/learningfromdata/) 48 | 49 | #### Stats & probability 50 | 51 | * [Introduction to Probability and Statistics by MIT](https://ocw.mit.edu/courses/mathematics/18-05-introduction-to-probability-and-statistics-spring-2014/) 52 | * [All of Statistics](http://www.stat.cmu.edu/~larry/all-of-statistics/) 53 | * [Statistical Inference via Data Science](https://moderndive.com/) 54 | 55 | #### Calculus 56 | 57 | * [Essence of calculus by 3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr) 58 | * [Multivariarble Calculus by MIT](https://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/) 59 | 60 | ### Programming 61 | 62 | #### Python 63 | 64 | * [Google's Python Course](https://developers.google.com/edu/python/) 65 | * [Applied Data Science with Python — UMich](https://online.umich.edu/series/applied-data-science-with-python/) 66 | * [IBM Data Science Professional Certificate](https://www.coursera.org/professional-certificates/ibm-data-science) 67 | 68 | #### SQL 69 | 70 | * [Mode’s SQL tutorial for Data Analysis](https://mode.com/sql-tutorial/introduction-to-sql/) 71 | * [FreeCodeCamp — Full Database Course for Beginners](https://www.youtube.com/watch?v=HXV3zeQKqGY) 72 | * [SQL for Data Science — UC Davis](https://www.coursera.org/learn/sql-for-data-science?) 73 | 74 | #### Julia 75 | 76 | * [Introduction to Computational Thinking](https://computationalthinking.mit.edu/Spring21/) 77 | * [julia website](https://julialang.org/) 78 | 79 | #### R 80 | 81 | * [R for Data Science](https://r4ds.had.co.nz/) 82 | * [Data Science specialization with R by JHU](https://www.coursera.org/specializations/jhu-data-science) 83 | 84 | #### Git 85 | 86 | * [git doc](https://git-scm.com/docs/gittutorial) 87 | * [atlassian git tutorials](https://www.atlassian.com/git/tutorials) 88 | * [try git](https://try.github.io/) 89 | 90 | 91 | ### Machine Learning 92 | 93 | * [Learning from Data by CalTech](http://work.caltech.edu/telecourse) 94 | * [Machine Learning](https://www.coursera.org/learn/machine-learning#instructors) 95 | * [Introduction to Statistical learning](https://www.statlearning.com/) 96 | 97 | ### Deep Learning 98 | 99 | * [Neural networks by 3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi) 100 | * [Fast AI](https://course.fast.ai/) 101 | 102 | 103 | ### Business Acumen 104 | 105 | 1. Find the domain you're passionate about. 106 | 1. Discover great books, articles, and podcasts that will help you effectively pick up skills in this domain. 107 | 1. Join communitites and build a network. 108 | 1. Find mentors 109 | 110 | ### Bonus 111 | 112 | #### ML-Ops resources 113 | 114 | * [visenger/awesome-mlops](https://github.com/visenger/awesome-mlops) 115 | 116 | #### Data Engineering resources 117 | 118 | * [Awesome Data Engineering](https://awesomedataengineering.com/) 119 | * [Data Engineering Resources](https://diogoalexandrefranco.github.io/data-engineering-resources/) 120 | 121 | ## Advice for international jobs 122 | 1. Learn the local language if possible, even if it’s just greetings and thank you 123 | 1. 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. 124 | 125 | 126 | ## Job boards 127 | 128 | ### Japan 129 | * [Bitgrit jobs](https://bitgrit.net/jobs/) 130 | * [Japan Dev](https://japan-dev.com/) 131 | * [Daijob](https://www.daijob.com/en/jobs/search_result?job_post_language=2&job_search_form_hidden=1&page=2&sort_order=1&keywords=Data+Scientist) 132 | * [Rakuten’s global data science team](https://global.rakuten.com/corp/careers/lp/data_engineer/) 133 | 134 | ### Singapore 135 | * [JobStreet](https://www.jobstreet.com.sg/en/job-search/data-scientist-jobs/) 136 | * [JobsDB](https://sg.jobsdb.com/Data-Scientist-jobs) 137 | * [Efinancialcareers](https://www.efinancialcareers.sg/jobs-Data_Scientist-Singapore.to014701880251) 138 | 139 | ### Malaysia 140 | * [JobStreet](https://www.jobstreet.com.my/en/job-search/data-scientist-jobs-in-malaysia/) 141 | * [Glassdoors](https://www.glassdoor.com/Job/malaysia-data-scientists-jobs-SRCH_IL.0,8_IN170_KO9,24.htm) 142 | * [careerjet](https://www.careerjet.com.my/data-scientist-jobs.html) 143 | 144 | ### Australia 145 | * [Jora](https://au.jora.com/Data-Scientist-jobs-in-Australia) 146 | * [Indeed](https://au.indeed.com/Data-Scientist-jobs) 147 | * [Seek](https://www.seek.com.au/data-scientist-jobs) 148 | 149 | ### South Korea 150 | 151 | * [glassdoor](https://www.glassdoor.com/Job/south-korea-data-scientist-jobs-SRCH_IL.0,11_IN135_KO12,26.htm) 152 | * [jooble](https://jooble.org/jobs-data-science/South-Korea) 153 | * [linkedin](https://www.linkedin.com/jobs/analyst-jobs-korea/?trk=amworks_jserp_redirect&position=1&pageNum=0) 154 | 155 | ## Other awesome Data Sciecne interview repos 156 | * [Cracking-the-Data-Science-Interview](https://github.com/ml874/Cracking-the-Data-Science-Interview) by ml874 157 | * [cracking-the-data-science-interview](https://github.com/khanhnamle1994/cracking-the-data-science-interview 158 | ) by khanhnamle1994 159 | 160 | ## Data Science resources repos 161 | * [academic/awesome-datascience](https://github.com/academic/awesome-datascience) 162 | * [tirthajyoti/Data-science-best-resources](https://github.com/tirthajyoti/Data-science-best-resources) 163 | * [cdeweyx/DS-Career-Resources](https://github.com/cdeweyx/DS-Career-Resources/blob/master/Interview-Resources.md) 164 | 165 | ## More resources 166 | * [The Big List of Data Science Interview Resources](https://www.conordewey.com/blog/the-big-list-of-data-science-interview-resources/) 167 | 168 | ## Concluding advice/CTA 169 | 170 | 1. Learn from courses and books 171 | 1. Apple what you learn with personal projects 172 | 1. Choose a few important ones and present them on GitHub  173 | 1. Apply for jobs 174 | 1. Refresh concepts with resources to prepare for interview 175 | 176 | -------------------------------------------------------------------------------- /venn_diagram.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/benthecoder/ds-interview-resources/d4aec1a9f909a516dc80cf617fb77bdd2817f579/venn_diagram.png --------------------------------------------------------------------------------