Data Science For Dummies, Lillian Pierson
Data Science For Dummies, Lillian Pierson
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Data Science For Dummies
2nd Edition

Author: Lillian Pierson, Jake Porway

Narrator: Chloe Cannon

Unabridged: 10 hr 29 min

Format: Digital Audiobook Download

Publisher: Tantor Media

Published: 08/27/2019


Synopsis

Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here's what to expect:

● Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value

● Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL

● And more

It's a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

About Lillian Pierson

Lillian Pierson is a data scientist, professional environmental engineer, and leading data science consultant to global leaders in IT, major governmental and non-governmental entities, prestigious media corporations, and not-for-profit technology groups. She is the author of Data Science For Dummies.


Reviews

Goodreads review by Ashok on May 30, 2021

To be candid, this ended up being one of those rare books that I stopped reading after a while and started skimming instead. Too much theory and overflowing with words. Occasionally repetitive and too tiresome. You can use it as a generic reference material though.......more

Goodreads review by Anthony.Uw.Ligmail.Com on July 10, 2017

Just skimmed through it quickly. Not a very in-depth overview......more

Goodreads review by Ossian on December 15, 2021

Does a decent job of what it sets out to do. Introduces the concepts within data science and points out what skills are required. Provides examples of applications in different fields. However, I don't know how useful such information really is. It can be good as guidance of where to continue learni......more

Goodreads review by John on January 28, 2023

Missing a lot of fundamentals, some useful information scattered amongst lots of repetition.......more

Goodreads review by Daniel on December 27, 2021

I had read 2 editions of machine learning for dummies but, I had never read data science for dummies. So I was excited to read it. This book sure has a lot of information in it. It talks about Algorithms to information about business models for data science businesses. My favorite chapters from the......more