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[Note: DataFramed is currently on a short hiatus, but we plan to bring it back during Summer, 2019.] Data science is one of the fastest growing industries and has been called the ‘Sexiest job of the 21st Century’. But what exactly is data science? In this podcast, brought to you by DataCamp, Hugo Bowne-Anderson approaches the question by exploring what problems data science can solve rather than defining what data science is. From automated medical diagnosis and self-driving cars to recommendation systems and climate change, come on a journey with experts from industry and academia to explore the industry that will change the course of the 21st century.

DataFramed DataCamp

    • Technologie
    • 5.0, 3 beoordelingen

[Note: DataFramed is currently on a short hiatus, but we plan to bring it back during Summer, 2019.] Data science is one of the fastest growing industries and has been called the ‘Sexiest job of the 21st Century’. But what exactly is data science? In this podcast, brought to you by DataCamp, Hugo Bowne-Anderson approaches the question by exploring what problems data science can solve rather than defining what data science is. From automated medical diagnosis and self-driving cars to recommendation systems and climate change, come on a journey with experts from industry and academia to explore the industry that will change the course of the 21st century.

Klantrecensies

5.0 van 5
3 beoordelingen

3 beoordelingen

SabineV ,

One of my favorite podcasts

I love DataCamp as a learning platform for R, but I also love the podcast! It inspires me to complete my Data Science Career Track in R and start a carreer as a dataviz artist. Perfect combination.

Bayesian Analyst ,

Awesome podcast on all things Data Science

This podcast features interviews with Data Science experts and gives a unique insight into a wide array of applications of machine learning. These interviews alternate with fun short segments that cover a variety of background topics related to Data Science. If you are interested in the field then you should listen to this.

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