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Interview-Resources.md

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Data Science Interview Resources

50+ interviews worth of comprehensive data science resources

Introduction

Data science interviews certainly aren’t easy. I know this first hand. I’ve participated in over 50 individual interviews and phone screens while applying for competitive internships over the last calendar year. Through this exciting and somewhat (at times, very) painful process, I’ve accumulated a plethora of useful resources that helped me prepare for and eventually pass data science interviews. Long story short, I’ve decided to sort through all my bookmarks and notes in order to deliver a comprehensive list of data science resources. With this list by your side, you should have more than enough effective tools at your disposal next time you’re prepping for a big interview.

See the Post

I wrote a Medium post on the experience as well. You can find the post and more about my experience here:

General

• Interview Q&A bank
  • https://github.com/iamtodor/data-science-interview-questions-and-answers
  • https://github.com/yangshun/tech-interview-handbook
  • https://medium.freecodecamp.org/the-best-data-science-courses-on-the-internet-ranked-by-your-reviews-6dc5b910ea40
  • http://treycausey.com/data_science_interviews.html
  • https://datascienceinterview.quora.com/
  • https://www.quora.com/What-are-tips-for-data-science-interviews-1
  • https://www.quora.com/How-do-I-prepare-for-a-phone-interview-for-a-data-scientist-position-with-Airbnb
  • http://hookedondata.org/Advice-for-Applying-to-Data-Science-Jobs/
  • https://towardsdatascience.com/the-two-sides-of-getting-a-job-as-a-data-scientist-a4571acc58bc
  • https://medium.com/@rchang/my-two-year-journey-as-a-data-scientist-at-twitter-f0c13298aee6
  • https://jvns.ca/blog/2013/12/30/questions-im-asking-in-interviews/
  • https://will-stanton.com/2015/07/15/creating-a-great-data-science-resume/
  • https://towardsdatascience.com/data-science-interview-guide-4ee9f5dc778
  • https://www.youtube.com/watch?v=4Z6lxfglvUU
  • https://towardsdatascience.com/how-to-land-a-data-scientist-job-at-your-dream-company-my-journey-to-airbnb-f6a1e99892e8
  • http://hookedondata.org/Red-Flags-in-Data-Science-Interviews/
  • https://medium.com/@jasonkgoodman/advice-on-building-data-portfolio-projects-c5f96d8a0627
  • https://www.youtube.com/watch?v=xrhPjE7wHas&feature=youtu.be&t=2m43s
  • https://www.quora.com/How-do-I-prepare-for-a-data-scientist-interview
  • https://github.com/kojino/120-Data-Science-Interview-Questions
  • https://www.analyticsvidhya.com/blog/2018/06/comprehensive-data-science-machine-learning-interview-guide/
  • https://www.dataquest.io/blog/data-science-career-guide/?utm_campaign=Data_Elixir&utm_medium=email&utm_source=Data_Elixir_227
  • https://towardsdatascience.com/notes-and-technical-questions-from-interviewing-as-a-data-scientist-in-2018-20e7e3ee4ab3
  • https://towardsdatascience.com/mastering-the-data-science-interview-15f9c0a558a7

  Algorithmic Coding & Python

  • Time complexity in Python
    • https://wiki.python.org/moin/TimeComplexity
    • https://leetcode.com/
    • https://gist.github.com/RatulSaha/b41c52614da34762a74d16dc066b68df#file-list-py
    • https://medium.com/@ratulsaha/preparing-for-programming-interview-as-a-phd-student-with-python-5f8af8b40d5f
    • https://github.com/jwasham/coding-interview-university#about-video-resources
    • http://www.pgbovine.net/programming-interview-tips.htm
    • https://github.com/google/styleguide/blob/gh-pages/pyguide.md
    • https://github.com/TheAlgorithms/Python
    • https://www.youtube.com/watch?v=wfcWRAxRVBA
    • https://github.com/mre/the-coding-interview
    • http://interactivepython.org/runestone/static/pythonds/index.html
    • https://www.youtube.com/watch?v=Xorvwc2P0-8&list=PL6AvMp7YYQRxyltgP9mucWXYxcn1e2mx3
    • https://hackernoon.com/python-tricks-101-2836251922e0
    • https://github.com/yangshun/tech-interview-handbook/blob/master/non-technical/questions-to-ask.md

    Statistics and Probability

    • Basics of Probability for Data Science
      • https://www.analyticsvidhya.com/blog/2017/02/basic-probability-data-science-with-examples/
      • https://static1.squarespace.com/static/54bf3241e4b0f0d81bf7ff36/t/55e9494fe4b011aed10e48e5/1441352015658/probability_cheatsheet.pdf
      • https://www.analyticsvidhya.com/blog/2017/04/40-questions-on-probability-for-all-aspiring-data-scientists/
      • http://blog.cloudera.com/blog/2015/12/common-probability-distributions-the-data-scientists-crib-sheet/
      • https://towardsdatascience.com/probability-statistics-for-data-science-series-83b94353ca48

      Data Manipulation & SQL

      • Mode Tutorial
        • https://community.modeanalytics.com/sql/tutorial/introduction-to-sql/
        • https://towardsdatascience.com/how-to-ace-data-science-interviews-sql-b71de212e433
        • https://www.datacamp.com/community/tutorials/sql-tutorial-query
        • https://github.com/MaximAbramchuck/awesome-interview-questions#sql
        • http://www.java67.com/2013/04/10-frequently-asked-sql-query-interview-questions-answers-database.html
        • https://www.toptal.com/sql/interview-questions
        • https://github.com/XD-DENG/SQL-exercise

        Data Analysis & Pandas

        • Data School Video Series
          • https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y
          • http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/
          • http://pbpython.com/excel-pandas-comp.html
          • https://classroom.udacity.com/courses/ud944/lessons/d982ccec-8895-4362-981e-05bd266ac783/concepts/399b5b79-7fa9-435d-91ed-bd74369ff5d9
          • https://github.com/guipsamora/pandas_exercises

          Machine Learning

          • Machine Learning in Python Github Repo
            • https://github.com/machinelearningmindset/machine-learning-course
            • https://machinelearningmastery.com/process-for-working-through-machine-learning-problems/
            • https://www.springboard.com/blog/machine-learning-interview-questions/
            • https://www.dataschool.io/15-hours-of-expert-machine-learning-videos/
            • https://quantdare.com/what-is-the-difference-between-bagging-and-boosting/
            • https://www.analyticsvidhya.com/blog/2018/06/comprehensive-guide-for-ensemble-models/
            • https://www.kaggle.com/shivamb/data-science-glossary-on-kaggle
            • https://docs.google.com/document/d/e/2PACX-1vSYBV2l-IUU8rFPa6ldB5CSCrrnz_czoVMGN5G2hRRjfUjlG82a-tif0sO4QUF_MBkgeOj6U44ACOqM/pub?embedded=true
            • https://developers.google.com/machine-learning/glossary/
            • https://github.com/Avik-Jain/100-Days-Of-ML-Code
            • https://www.dummies.com/programming/big-data/data-science/machine-learning-dummies-cheat-sheet/
            • https://www.hackingnote.com/en/machine-learning/algorithms-pros-and-cons/
            • https://www.quora.com/What-are-the-advantages-of-different-classification-algorithms
            • https://github.com/theainerd/MLInterview

            Product and Experimentation

            • Experiments at Airbnb
              • https://medium.com/airbnb-engineering/experiments-at-airbnb-e2db3abf39e7
              • https://www.quora.com/When-should-A-B-testing-not-be-trusted-to-make-decisions
              • https://www.tutorialspoint.com/ab_testing/ab_testing_interview_questions.htm
              • https://www.udacity.com/course/ab-testing--ud257
              • https://towardsdatascience.com/a-summary-of-udacity-a-b-testing-course-9ecc32dedbb1
              • https://blog.hubspot.com/blog/tabid/6307/bid/33466/answers-to-the-19-most-frequently-asked-questions-about-a-b-testing.aspx
              • https://www.datascience.com/blog/churn-prediction-python
              • https://medium.com/the-year-of-the-looking-glass/how-do-you-set-metrics-59f78fea7e44
              • https://medium.com/the-year-of-the-looking-glass/metrics-versus-experience-a9347d6b80b
              • http://www.evanmiller.org/how-not-to-run-an-ab-test.html
              • http://hookedondata.org/Guidelines-for-AB-Testing/?utm_campaign=Data_Elixir&utm_medium=email&utm_source=Data_Elixir_194
              • https://juliasilge.com/blog/ab-testing/
              • https://flowingdata.com/2014/05/09/type-i-and-ii-errors-simplified/
              • https://www.tutorialspoint.com/ab_testing/index.htm
              • https://www.forbes.com/sites/quora/2015/05/29/you-can-earn-as-much-or-more-from-a-pay-what-you-want-model-as-from-a-fixed-price-model/#65b3a67221b5
              • http://jwegan.com/growth-hacking/27-metrics-pinterests-internal-growth-dashboard/
              • https://www.quicksprout.com/2014/11/05/ab-testing-for-beginners-70-resources-to-get-you-started/

              Big Data

              • Apache Spark in Python: Beginner’s Guide (Datacamp)
                • https://www.datacamp.com/community/tutorials/apache-spark-python#gs.fMIIqxM
                • https://www.youtube.com/watch?v=KzFe4T0PwQ8
                • https://www.quora.com/What-is-the-difference-between-Hadoop-and-Spark
                • https://www.youtube.com/watch?v=MfF750YVDxM
                • http://xyz.insightdataengineering.com/blog/pipeline_map/
                • https://www.quora.com/How-do-I-learn-Apache-Spark
                • https://www.youtube.com/playlist?list=PLE50-dh6JzC5zo2whIGqJ02CIhP3ysQLX
                • http://spark.apache.org/screencasts/1-first-steps-with-spark.html
                • https://www.datacamp.com/community/blog/pyspark-cheat-sheet-python