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3 Big Data & Data Science SlideShares you need to see

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Last updated: August 3, 2017

We understand, information overload. You'd like to learn more about something, but there is so much content you don’t know where to start. That’s why we’ve made a convenient list of 3 essential Big Data & Data Science SlideShares.

They each cover a different approach, and we hope that at least one of them is of real value to you.

Feel free to disagree or share some thoughts in the comments section below.

1. Intro to Data Science for Enterprise Big Data

For those looking for an introduction guide to Big Data, this SlideShare from Paco Nathan [@pacoid] is great.

You often hear about buzzwords like Data Science, but to understand it from a business perspective is another matter. It may not be the most stylish of designs, but there are some great diagrams, such as page 31.

 

2. Big Data [sorry] & Data Science: What Does a Data Scientist Do?

Understanding Data Science is as much about what it means to a business, as how it effects other operations, in this case – Big Data.

This SlideShare by Carlos Somohano [@ds_ldn] delves into the great journey of how data related products have exploded in recent years. Carlos also gives a fantastic analogy between Big Data & Crude Oil (page 11). It’s a great point of view, and describes the work needed to get to the true value of the product.

 

3. Big Data - 25 Amazing Facts Everyone Should Know

For a lighter touch than the two above, we move onto to some great stats surrounding Big Data. Bernard Marr’s [@BernardMarr] SlideShare really puts some almost unquantifiable numbers in perspective.

Our favourite slides is Page 14: ‘Today’s data centres occupy an area of land equal in size to almost 6,000 football pitches’.

We’d love to know which one is most startling to you – comment below.

A great deal of Data Science & Big Data content

So there you go, a small but hopefully informative list of data related slides. If you have any questions or thought’s we’d be happy to help.

Topics: Data, Data Science, Big Data

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