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Indhold leveret af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Chapter 1: What is Data Science?

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Manage episode 274092273 series 2803699
Indhold leveret af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

What actually *is* data science, and what does a data scientist do? What kind of backgrounds do data scientists come from and what skills do you need to be one? In this episode we start with the basics—declaring once and for all what is data science anyway and exploring how the hype of the field matches reality. We explore the three main areas of data science - analytics, decision science, and machine learning - and help you figure out which is best for YOU.

  continue reading

22 episoder

Artwork
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Manage episode 274092273 series 2803699
Indhold leveret af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

What actually *is* data science, and what does a data scientist do? What kind of backgrounds do data scientists come from and what skills do you need to be one? In this episode we start with the basics—declaring once and for all what is data science anyway and exploring how the hype of the field matches reality. We explore the three main areas of data science - analytics, decision science, and machine learning - and help you figure out which is best for YOU.

  continue reading

22 episoder

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