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A career in data science: what is it, who is it for and how do you get into it? - with Nicholas Cifuentes of WorldQuant University

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Treść dostarczona przez Jeremy Cline. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Jeremy Cline lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Questions? Comments? Episode suggestions? Send us a text message!

#179: Nicholas Ciufentes-Goodbody transitioned from a career in teaching to becoming the Chief Data Scientist at WorldQuant University. He explains what data science involves, what a career in data science looks like, and why it’s such a popular field to work in.

What you’ll learn

  • [1:45] What WorldQuant University is and the types of programs they run.
  • [3:42] How a free university is possible in America.
  • [4:13] The motivation for a hedge fund to run a free university.
  • [4:50] What data science is and how it’s used.
  • [6:03] The biggest employers of data scientists.
  • [8:21] What a typical day as a data scientist is like.
  • [10:12] The different specialities within data science.
  • [12:08] What it means to be an AI engineer.
  • [12:40] What qualifications you need to become a data scientist.
  • [14:43] The level of education you need to become a data scientist.
  • [16:27] Character traits that successful data scientists share.
  • [18:10] The amount of nerds working in data science.
  • [20:08] Why musicians become data scientists and doctors.
  • [21:15] How to transition your career to become a data scientist.
  • [27:37] What you need on your resume when applying for a data science role.
  • [29:07] The best ways to learn the skills you need to become a data scientist.
  • [30:29] How to edit your CV when applying for a data science job.
  • [31:55] How to find a good data science boot camp.
  • [33:51] The base knowledge you need prior to joining a data science boot camp.
  • [36:30] The income potential of a data scientist.
  • [38:17] The career path of a data scientist.
  • [39:28] The impact AI will have on data scientists.
  • [42:12] The ever-changing nature of data science.

Resources mentioned in this episode
Please note that some of these are affiliate links and we may get a commission in the event that you make a purchase. This helps us to cover our expenses and is at no additional cost to you.

For the show notes for this episode, including a full transcript and links to all the resources mentioned, visit:
https://changeworklife.com/using-chatgpt-to-supercharge-your-career/

Re-assessing your career? Know you need a change but don't really know where to start? Check out these two exercises to start the journey of working out what career is right for you!

  continue reading

185 odcinków

Artwork
iconUdostępnij
 
Manage episode 416914983 series 2570105
Treść dostarczona przez Jeremy Cline. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Jeremy Cline lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Questions? Comments? Episode suggestions? Send us a text message!

#179: Nicholas Ciufentes-Goodbody transitioned from a career in teaching to becoming the Chief Data Scientist at WorldQuant University. He explains what data science involves, what a career in data science looks like, and why it’s such a popular field to work in.

What you’ll learn

  • [1:45] What WorldQuant University is and the types of programs they run.
  • [3:42] How a free university is possible in America.
  • [4:13] The motivation for a hedge fund to run a free university.
  • [4:50] What data science is and how it’s used.
  • [6:03] The biggest employers of data scientists.
  • [8:21] What a typical day as a data scientist is like.
  • [10:12] The different specialities within data science.
  • [12:08] What it means to be an AI engineer.
  • [12:40] What qualifications you need to become a data scientist.
  • [14:43] The level of education you need to become a data scientist.
  • [16:27] Character traits that successful data scientists share.
  • [18:10] The amount of nerds working in data science.
  • [20:08] Why musicians become data scientists and doctors.
  • [21:15] How to transition your career to become a data scientist.
  • [27:37] What you need on your resume when applying for a data science role.
  • [29:07] The best ways to learn the skills you need to become a data scientist.
  • [30:29] How to edit your CV when applying for a data science job.
  • [31:55] How to find a good data science boot camp.
  • [33:51] The base knowledge you need prior to joining a data science boot camp.
  • [36:30] The income potential of a data scientist.
  • [38:17] The career path of a data scientist.
  • [39:28] The impact AI will have on data scientists.
  • [42:12] The ever-changing nature of data science.

Resources mentioned in this episode
Please note that some of these are affiliate links and we may get a commission in the event that you make a purchase. This helps us to cover our expenses and is at no additional cost to you.

For the show notes for this episode, including a full transcript and links to all the resources mentioned, visit:
https://changeworklife.com/using-chatgpt-to-supercharge-your-career/

Re-assessing your career? Know you need a change but don't really know where to start? Check out these two exercises to start the journey of working out what career is right for you!

  continue reading

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