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Big Data: How Data Analytics Is Transforming the World
- Narrated by: Tim Chartier
- Length: 12 hrs and 41 mins
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Big Data: How Data Analytics Is Transforming the World
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Summary
In our age of accelerating progress in so many fields, it’s easy to lose sight of the underlying innovation that makes the data analytics revolution possible. These 24 lectures introduce you to the key concepts, methods, and accomplishments of this versatile approach to problem solving. You need no expertise in mathematics to follow this exciting story.
Tim Chartier, professor of mathematics and computer science, explains the basic computational techniques used in data analytics, but his focus is on how these ideas are applied and the amazing results they achieve. His case histories make these lectures both accessible and entertaining. He takes you behind the scenes to review many examples of data analysis in action, including the pitfalls and potential of Internet traffic analysis, algorithms that aim to predict what customers want, some of the best defenses for keeping your personal data private, how methods for filling out March Madness game brackets can be applied to other problems, and much more.
Professor Chartier is a champion of the fun, challenge, and breathtaking power of mathematics - qualities that are accessible with data analytics. And with his enjoyable lectures, you’ll discover concepts and tools that are transforming the world - and that you can use to transform your own life. It’s like watching a thrilling spectator sport that invites you to suit up and join the action!
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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What listeners say about Big Data: How Data Analytics Is Transforming the World
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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Overall3 out of 5 stars
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Performance4 out of 5 stars
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Story3 out of 5 stars
- whatisiswhat
- 13-01-19
A good basic introduction... so much sports tho!
This is a pretty basic introduction to modern data analytics. It gives a bit of high-level insight into ideas such as regression, clustering, neural networks and other techniques as well as some very sensible advice on cross-validation, data cleaning and other important topics of great practical importance.
The lecturer gives an infectiously enthusiastic presentation and the overall effect is enjoyable and inspiring. I would definitely say it's worth listening to if you are a beginner to data analysis or want to get some idea what it's all about from outside.
As someone with a great deal of experience in the field I was disappointed though, as I was hoping it would contain more interesting and motivating examples of successful applications of these techniques to generate new knowledge and insight (i.e. a survey of results rather than methods). However a good 2/3 of the examples given are about sports. This is of little interest to me in general and even less so given that they are all *American* sports.
There are so many other domains in which these methods are giving examples it would really have been great to have covered much wider territory. Using only examples from recreational domains such as sports or content recommendations risks trivialising this very important topic.
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6 people found this helpful
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Overall5 out of 5 stars
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Performance4 out of 5 stars
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Story5 out of 5 stars
- Rostislav
- 18-04-23
Introduction to Data analytics field
It covers quite a lot. For me, as a person just getting my head around the field, this book introduced me a lot of concepts I was not aware of. It took me a lot of time to listen to the book because I was stopping to check and read more on the ideas I heard. It definitely broaden my understanding of the Data field.
It is worth the listen if you are new to the field. As some other reviewers have mentioned, it is basic. If that is what you need, as I did, then the book would be a good listen. Otherwise, probably not.
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Overall1 out of 5 stars
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Performance4 out of 5 stars
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Story1 out of 5 stars
- R. G. Morrison
- 03-03-20
Basic in the extreme.
This is a course for absolute beginners who have no prior knowledge of data or analytics. This needs to be better reflected on the title.
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Overall2 out of 5 stars
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Performance5 out of 5 stars
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Story2 out of 5 stars
- Diogenes
- 01-08-19
A very very long TED Talk
Lots of examples but very little practical guidance on how to actually do the analysis. Not helpful for anyone actually wanting to learn something.
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