DataHour: How to transition into Data Science?

DataHour: How to transition into Data Science?

11 Jun 202209:06am - 11 Jun 202210:06am

DataHour: How to transition into Data Science?

About the Event

Data Science is the new umbrella term for all ‘Data Analysis’ related work in the Analytics space across all industries. Its exponentially growing popularity over the last few years has been primarily fueled by the massive growth in the amounts of data generated regularly in these industries along with an unprecedented improvement in the computational tech infrastructure and innovation of various transformational methods that have solved some of the most complex real-world problems at scale. 

This has brought along a vast number of interesting and lucrative job opportunities across all these industries, striking a deep interest in people with a wide variety of academic backgrounds to switch to a Data Science job. But this transition is not easy at all – in fact it is very hard, especially for those people who don’t come from a traditional Statistics or Computer Science background. 

In this DataHour, discover how you can successfully transition into a Data Science job and build a solid career profile in it.

Prerequisites: A genuine interest in Data Science

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  3. Best articles get published on Analytics Vidhya’s Blog Space
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Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Sutirtha Chakraborty

Sutirtha Chakraborty

Head - Global Data Science & Analytics, Abbott

Sutirtha has 20+ years of experience in Statistics and Machine Learning, Healthcare Research & Development and Product Management. Prior to joining Abbott, Sutirtha was associated with Nference Labs Private Limited as a Senior Director of Engineering (AI/ML). In the past, Sutirtha has also worked with GlaxoSmithKline and Novartis as a Data Science Leader. Sutirtha served as a Postdoc in Statistical Genomics at the Harvard University and Dana-Farber Cancer Institute. He has a Ph.D. in Biostatistics from the University of Louisville, KY, USA, MSTAT in Applied Statistics and Data Analysis from the Indian Statistical Institute, Kolkata and BSc in Statistics (hons.) from the Presidency University, Kolkata.

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