Young Data Scientist – more about forthcoming book/kickstarter

The role of a data scientist is one of the hottest jobs in the industry today – But how do we inspire the next generation of data scientists?

I have been working on the idea of Young Data Scientist for a years now – with various iterations and pivots

Its now ready to launch the next version as a book / kickstarter

The easiest way to inspire the next generation of Data Scientists is to go back to the basics – i.e. the Maths because Maths is the Universal language that underpins progress and innovation

This also aligns closely with my day job and my teaching – Data Science for Internet of Things at Oxford University

It allows me also to create the book /kickstarter using personal insights from my years of teaching

So, if you consider the maths foundations needed to learn Data Science, you could divide them into four key areas

Linear Algebra

Probability Theory and Statistics

Multidimensional Calculus

Optimization

All of these are taught(in some shape or form) in high schools(13 to 17 years)

So, the book aims to build upon these foundations for a high school audience to inspire them to take up Data Science

The challenge here is to simplify and co-relate to existing maths knowledge considering the audience(13 to 17 year olds)

and most importantly to inspire!

It also would take them on a path to be Artificial Intelligence(AI) aware

Young Data Scientist will be a book, a kickstarter, a community

It will have Open source foundations

Young Data Scientist community will also work with teachers

And finally, the Young Data Scientist community will draw upon interesting examples in Space exploration, Genomics, Ecology etc

Coding will be in Python (including numpy and tensorflow sometimes)

Please email me at ajit.jaokar at futuretext.com