
Data Science and Big Data Analytics
Discovering, Analyzing, Visualizing and Presenting Data
by Emc Education Services
Should I read this?
appears in Big Data and Statistics.
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and Technology, environment, and the learning is supported and...
Looking for Kindle, hardcover, paperback, or audiobook editions?
Check formats, pricing, and current availability directly.
Why recommended
appears in Big Data and Statistics.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
No verified recommendation proof available yet.
Appears In

Not sure if this is the right fit?
Consider First Course in Probability, A by Sheldon Ross.
“Sheldon Ross’s First Course in Probability reads like a clear, calculus-based undergraduate textbook: definitions, step-by-step derivations, and many worked examples aimed at building formal comfort with probability. What works best is its mathematical clarity — it pushes you through proofs and algebra so you understand why common distributions and counting arguments work. The main limitation is tone and pacing: chapters can feel terse and formula-heavy, and the bundled diskette/tooling feels dated for readers expecting modern software support.”
Similar books

First Course in Probability, A
Sheldon Ross
How to Lie with Statistics
Darrell Huff
Cracking the AP Statistics Exam, 2020 Edition
The Princeton Review
Honest Rainmaker
A. J. Liebling
Head First Statistics
Dawn Griffiths
Introduction to Probability
Dimitri P. Bertsekas
Business Analytics Study Guide
Habiba Emadi KeshtiarHow Not to Be Wrong
Jordan EllenbergHow recommendation signals are reviewed
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.
