Big Data: How Data Analytics Is Transforming the World

by Tim Chartier

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!

24 Lectures:
• 1 Data Analytics-What's the "Big" Idea?
• 2 Got Data? What Are You Wondering About?
• 3 A Mindset for Mastering the Data Deluge
• 4 Looking for Patterns-and Causes
• 5 Algorithms-Managing Complexity
• 6 The Cycle of Data Management
• 7 Getting Graphic and Seeing the Data
• 8 Preparing Data Is Training for Success
• 9 How New Statistics Transform Sports
• 10 Political Polls-How Weighted Averaging Wins
• 11 When Life Is (Almost) Linear-Regression
• 12 Training Computers to Think like Humans
• 13 Anomalies and Breaking Trends
• 14 Simulation-Beyond Data, Beyond Equations
• 15 Overfitting-Too Good to Be Truly Useful
• 16 Bracketology-The Math of March Madness
• 17 Quantifying Quality on the World Wide Web
• 18 Watching Words-Sentiment and Text Analysis
• 19 Data Compression and Recommendation Systems
• 20 Decision Trees-Jump-Start an Analysis
• 21 Clustering-The Many Ways to Create Groups
• 22 Degrees of Separation and Social Networks
• 23 Challenges of Privacy and Security
• 24 Getting Analytical about the Future

Genres: Science

Audible Audio

Published December 5, 2018

Reviews

[11811 (Eleven) · Rating 4 out of 5]

Goodreads doesn't have the audio book but they have the DVD? WTF?

[TJ Totland · Rating 4 out of 5]

Very good book and one that I can recommend for anyone getting into the field of data analysis. It will cover everything on the topic from collecting to analyzing data.

My company and a lot of others are getting into big data more and more each year and the its costs continue to increase, but companies still will spend almost unlimited amounts to get the insights it brings to management. This is clear, Big Data is here to stay and will only grow as AI and ML continue to rely on it.

Overall, I was in-between a 4 and a 5 and for personal reasons, decided to rate it a 4 because I am saving my 5's for only the very best books ever written. Tim is a fantastic teacher in this area and again I would recommended it for anyone going into computers today.

[Pap Lőrinc · Rating 2 out of 5]

Very verbose description (with lots of unnecessarily detailed anecodes) of what can be extracted from data

[James Charlton · Rating 3 out of 5]

Good information. Dry if you don't care about sports scores