How to prepare for a Data Science Product Analytics Interview: Brainstorming the KPI map

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  • čas přidán 21. 07. 2024
  • Hi there!
    In this video, I walk through the brainstorming process to prepare for a Product Analytics role interview. Defining the KPI map is one of the first steps I think is good to do before your Product Data Scientist or Analyst interview.
    It will help you to answer questions like:
    1. How would you define the success of the product?
    2. How do you test that the users like the new feature released?
    3. What would you like to improve in the product and how would you measure the success?
    00:00 Intro
    00:29 Why metrics and KPIs matter
    01:24 The KPI map
    01:52 System Performance
    03:28 User Experience
    04:38 How to use the company's mission statement
    05:29 Content Consumer
    08:49 User Metadata
    11:59 Content Creator
    13:46 Advertizer

Komentáře • 39

  • @meghashyamnaidubone6096
    @meghashyamnaidubone6096 Před 3 lety +12

    Looking forward to see more amazing data science interview related videos Anastasia :)

  • @gilles3238
    @gilles3238 Před 3 lety +8

    Very thanks to you Anastasia, I'm a data scientist more in the technical term, so I really struggle with product or business use cases talking and reasoning. Again, thanks for the insights you've given.

  • @prateeksenapati2152
    @prateeksenapati2152 Před 2 lety +1

    This was very helpful Anastasia! Thanks a lot! My key takeaways were putting yourself in the "roles" (like thinking from the perspective of the user as well as the product analyst) and having assumptions around data tracking and technologies used in the company (also discussing this during the interview).

  • @abduvosidmalikov
    @abduvosidmalikov Před 2 lety +1

    Thanks Anastasia. I've been in the interview for Data Analyst role for the famous digital product in the market where your advice was very helpful. I didn't get that job, unfortunately. Also, I had a Data Analytics class where again I fell in love with Product Analytics. That class and your video making me to come back to this topic again and again!

  • @Atlas-ck9vm
    @Atlas-ck9vm Před 3 lety

    Thank you Anastasia for putting time on this video, it was very informative and inspiring. Please would you mind making another video or if you have suggestions of other resources on how to positively impact KPIs. Thank you.

  • @vinaya2084
    @vinaya2084 Před 2 lety

    Anastacia ! You are doing such a great job, great ease with which you explained and made the topic sound simple!

  • @avishayisraeli9348
    @avishayisraeli9348 Před 2 lety

    You really helped me to gain confidence and organized the process of thinking in order to solve analytic problems that I'm not familiar to, thanks a lot

  • @hardsequence01
    @hardsequence01 Před 2 lety

    You're the best! Clear conceps, ideas. Thank you

  • @alifiaz7792
    @alifiaz7792 Před 3 lety

    Very informative video and a practical approach described to identify product related metrics

  • @ashlynnsteeves1646
    @ashlynnsteeves1646 Před 3 lety +1

    Such a helpful video! Thank you!!

  • @belimmohsin
    @belimmohsin Před 9 měsíci

    watching this video 2nd time. Really great and simple explanation, yet covering mostly every aspect from a product perspective. Thanks a lot.

  • @catelli
    @catelli Před 3 lety

    love your videos s2, so much valuable information there :)

  • @juliohenrique4573
    @juliohenrique4573 Před 3 lety

    This is soooooo good! Great job :)

  • @sharadhiurs108
    @sharadhiurs108 Před 5 měsíci

    Thank you! This was really helpful.

  • @mariliapetrilli
    @mariliapetrilli Před 3 lety

    Thank you so much for this video!

  • @abhisheksinghchouhan8506

    Good explanation and covered s lot of topics .thanku

  • @The_Fair_Guy
    @The_Fair_Guy Před 2 lety

    You are AMAZINNGGGGGGGGGGGGGGGGGGGGGGGGGGGGG. am starting a product analyst career and your guidance and explanation was spot on easy to understand, fellow and well structured. I hope you will make a course or series of it; I will definitely be your first sign up.

  • @kunalpriyadarshi8565
    @kunalpriyadarshi8565 Před 3 lety +1

    Thanks, this was helpful!!

  • @whatakrispot
    @whatakrispot Před rokem

    well summarized thanks!

  • @puspakranjanagasti7875

    I see why there is no down vote. she is awesome!! great video, great advice!

  • @miguelseminariobando
    @miguelseminariobando Před 3 lety

    Hi Anastasia, great shared content. What is the software that you are using to taking notes?

  • @DionMensink
    @DionMensink Před 3 lety

    What application are you using to write your notes?
    Keep up the great videos!! Though I am not a data scientist, I still find this very helpful!

  • @AutriBanerjee
    @AutriBanerjee Před 3 lety

    Very nice video

  • @luckykukreja95
    @luckykukreja95 Před 2 lety

    Really helpful :)

  • @kaixuanxu3874
    @kaixuanxu3874 Před 3 lety

    thank you!

  • @davidbarrero9286
    @davidbarrero9286 Před 3 lety

    any source where we could go more in depth? @anastasia K

  • @semakaran611
    @semakaran611 Před 3 lety

    Such a great video to break down product sense, product analytics questions, thank you, Anastasia!

  • @manarma7536
    @manarma7536 Před 2 lety +1

    Thanks a lot . If you allow me but the music audio is so high it doesn’t help on focusing on what you explained, again thanks

  • @imalladoesitall
    @imalladoesitall Před 2 lety

    This was a very helpful video, thank you so much. You write very fast though lol maybe slow that down but very great knowledge to take into my next interview thanks !

  • @prachipandit8776
    @prachipandit8776 Před rokem

    Hi Anastasia, I am moving to Sweden with my husband and son. I am having experience in IT in software testing, but I am keen to explore data science and wish to work in data science industry. Can I learn and then apply to various companies in Stockholm? Is it possible ?

    • @AnastasiaKVL
      @AnastasiaKVL  Před rokem

      Hi! Absolutely, try to find internships and apply to junior roles while you are learning :) This will help you understand the requirements. Depending on what kind of education you have, you might be eligible to study in Swedish universities, so you can learn data science and analytics while your partner is working here.

  • @Ryan2k
    @Ryan2k Před 3 lety +1

    Is it possible to learn DATA SCIENCE on your own from the internet?

    • @AnastasiaKVL
      @AnastasiaKVL  Před 3 lety +9

      It’s possible to learn how to clean and analyze data, basic concepts of statistics and machine learning by following online courses. It’s also possible to get sufficient programming skills on your own.
      However, if you want to have data science as your career (of any sort, Product DS, Machine Learning Engineer, etc) - it will require a lot of investment of time and effort, doing data challenges, working on personal projects, getting certifications, getting relevant experience. You will need to be able to get attention of recruiters and hiring managers by some creative way because you will be competing with other candidates, with computer science, engineering, mathematics, data science, statistics degrees. In my experience, I haven’t encountered a lot of people who work as Data Scientists without a degree. The ones I know are very very interested in data analysis, super engaged in learning all things in the field, and spend a lot of time doing that. 😊

    • @Ryan2k
      @Ryan2k Před 3 lety +1

      @@AnastasiaKVL Thank you for the reply. I am doing Electrical engineering and along with that I want to learn DATA SCIENCE in these 4 years of my degree so that when I come out of university, I can get a good job in this field.

    • @v1jaya
      @v1jaya Před 3 lety +2

      Code basics is a good channel to start with. I feel its videos on easy to understand and helps you learn the concepts efficiently.

  • @thankyouthankyou1172
    @thankyouthankyou1172 Před 3 lety

    I like your video. subscribed

  • @vladorlov9252
    @vladorlov9252 Před 2 lety

    А на сколько хорошо нужно владеть английским для работы в Data Science?