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What does the Spotify Data team do?

This is a live meetup video for data professionals with knowledge sharer Naheon Kim :)

(5.0) 17 reviews

721 learners

  • inflearn
  • Naheon Kim
직무경험
직무전환
커리어고민
job-analysis
Data Engineering
Data literacy
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Reviews from Early Learners

What you will learn!

  • My story of transitioning from backend to data engineer

  • Understanding Data Jobs (Job duties and characteristics by job type)

  • Mindset Commonly Required in Data Occupations

A Spotify Senior Engineer Says
Data Career Stories 📔

What characteristics does each data job group have?

Common issues that permeate the data profession What is mindset ?

Data is not the technology itself, but the object that technology manipulates.
And is it because of the tens of thousands of utilities of data ?
Data professionals are always faced with situations where they are assigned a variety of tasks.

However, if you understand the characteristics and common mindset of each job group,
I think I can get one step closer to the data profession and data organizational culture.

Spotify has a strong data-driven culture.
What insights did it provide about data careers and practices ?

If you're curious about the story, check it out now!

What we share

#1.
To become a data engineer
personal experiences


As a data engineer, Na-Heon shares his personal experiences and journey. Above all, his personal experience—where various tasks at Spotify ultimately led to "data work" —provides insight into the direction and definition of the data profession .

#2.
Data occupations
Take a closer look


Learn about various data professions, including data scientists, data engineers, and data analysts. You'll also gain indirect experience with the work each data profession does at Spotify .

#3.
To the data profession
The necessary mindset


We cover three common mindsets that span the data profession .

  • Data professionals are the link between data creators and users.

  • Nitpicking attitude

  • The will to have a variety of other weapons beyond the analytical tasks that are being replaced by AI.

#4.
Q&A session


The Q&A session covers a wide range of topics that data analysts, from beginners to experienced professionals, might be curious about. From careers in data science to Spotify's data culture and practices, to the future of data science in the AI era, you'll hear 15 questions and Na-Heon's answers.

Recommended for
these people

Who is this course right for?

  • For those preparing for a career in data science

  • Anyone curious about Spotify's data culture

Hello
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Curriculum

All

16 lectures ∙ (50min)

Published: 
Last updated: 

Reviews

All

17 reviews

5.0

17 reviews

  • KYUNG TAE BAE님의 프로필 이미지
    KYUNG TAE BAE

    Reviews 286

    Average Rating 5.0

    5

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    데이터 분석가에 대해 궁금했는데 많은 도움이 되었습니다. 감사합니다

    • 쿠카이든님의 프로필 이미지
      쿠카이든

      Reviews 439

      Average Rating 5.0

      5

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      데이터 분석에 관한 영감을 얻고 갑니다! 좋은 강의 감사드려요

      • dmax님의 프로필 이미지
        dmax

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        5

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        • s20001299님의 프로필 이미지
          s20001299

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          5

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          • 마일님의 프로필 이미지
            마일

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            Average Rating 4.7

            5

            31% enrolled

            수강 잘 들었습니다.

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