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Contenido proporcionado por Win In STEM. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Win In STEM o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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STEM Career Paths: Data Scientist

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Manage episode 339644418 series 2897164
Contenido proporcionado por Win In STEM. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Win In STEM o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

In our last episode, we kicked off the “STEM Career Paths” series where we highlighted the career as an Actuary. This week, we will highlight the career as a Data Scientist. A data scientist is responsible for collecting, analyzing and interpreting extremely large amounts of data. Data Science enables companies to efficiently understand data from multiple sources and derive valuable insights to make smarter data-driven decisions.
Our special guest, Chinelo Oyekwe, is a data scientist and has been in the field for over 5 years. She has two degrees in Computer Science. Her love for numbers and technology made the choice to pivot into data science an easy one to make. Chinelo strongly believes that technology and data are the new gold, so she dedicates her time teaching her growing online community about tools and resources to help them successfully switch into tech and grow their new tech careers.

Tune in as Chinelo shares her journey into Data Science, tips on how to transition into the field, and the biggest ethical challenges facing the data science community.

Get Connected with Chinelo Oyekwe:

Instagram: @nelotechie

Data Science Course: tekdlin.com/waitlist

Questions or Feedback? Email: wininstempodcast@gmail.com

Follow the podcast on IG: @thewininstempodcast

Beats by Femi, IG: @fe.astro

--- Support this podcast: https://podcasters.spotify.com/pod/show/win-in-stem/support
  continue reading

33 episodios

Artwork
iconCompartir
 
Manage episode 339644418 series 2897164
Contenido proporcionado por Win In STEM. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Win In STEM o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

In our last episode, we kicked off the “STEM Career Paths” series where we highlighted the career as an Actuary. This week, we will highlight the career as a Data Scientist. A data scientist is responsible for collecting, analyzing and interpreting extremely large amounts of data. Data Science enables companies to efficiently understand data from multiple sources and derive valuable insights to make smarter data-driven decisions.
Our special guest, Chinelo Oyekwe, is a data scientist and has been in the field for over 5 years. She has two degrees in Computer Science. Her love for numbers and technology made the choice to pivot into data science an easy one to make. Chinelo strongly believes that technology and data are the new gold, so she dedicates her time teaching her growing online community about tools and resources to help them successfully switch into tech and grow their new tech careers.

Tune in as Chinelo shares her journey into Data Science, tips on how to transition into the field, and the biggest ethical challenges facing the data science community.

Get Connected with Chinelo Oyekwe:

Instagram: @nelotechie

Data Science Course: tekdlin.com/waitlist

Questions or Feedback? Email: wininstempodcast@gmail.com

Follow the podcast on IG: @thewininstempodcast

Beats by Femi, IG: @fe.astro

--- Support this podcast: https://podcasters.spotify.com/pod/show/win-in-stem/support
  continue reading

33 episodios

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