---
product_id: 130737260
title: "Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data"
price: "A$127"
currency: AUD
in_stock: true
reviews_count: 13
url: https://www.desertcart.com.au/products/130737260-data-science-and-big-data-analytics-discovering-analyzing-visualizing-presenting
store_origin: AU
region: Australia
---

# Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

**Price:** A$127
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data
- **How much does it cost?** A$127 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.com.au](https://www.desertcart.com.au/products/130737260-data-science-and-big-data-analytics-discovering-analyzing-visualizing-presenting)

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## Description

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data - Kindle edition by EMC Education Services, EMC Education Services. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data.

Review: Need to have resource for the proven Professional Course - Excellent book for completing the Data Science and Big Data Analytics Dell EMC Proven Professional Course. It is an excellent reference for any Data Analytics project
Review: I learned a lot. - Great book. I purchased to study for the Dell EMC DECA-DS certification, formerly “EMCDSA”. The book uses mostly R code examples which are great and understandable, but it did require me learning a little bit of R to fully comprehend. I come from a Python background and would have preferred more Python examples. There is very little Python based examples, mostly just for text mining. The book does get into Hadoop and related tools, but really at more of a theoretical level or basic overview.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN  | B00RXHVQF6 |
| Accessibility  | Learn more |
| Best Sellers Rank | #1,163,139 in Kindle Store ( See Top 100 in Kindle Store ) #63 in Business Operations Research (Kindle Store) #113 in Business Operations Research (Books) #122 in Mathematical & Statistical |
| Customer Reviews | 4.4 4.4 out of 5 stars (229) |
| Edition  | 1st |
| Enhanced typesetting  | Enabled |
| File size  | 25.8 MB |
| ISBN-13  | 978-1118876053 |
| Language  | English |
| Page Flip  | Enabled |
| Print length  | 399 pages |
| Publication date  | January 5, 2015 |
| Publisher  | Wiley |
| Screen Reader  | Supported |
| Word Wise  | Not Enabled |
| X-Ray  | Not Enabled |

## Images

![Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data - Image 1](https://m.media-amazon.com/images/I/51i8dBxRT5L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Need to have resource for the proven Professional Course
*by A***R on May 6, 2017*

Excellent book for completing the Data Science and Big Data Analytics Dell EMC Proven Professional Course. It is an excellent reference for any Data Analytics project

### ⭐⭐⭐⭐⭐ I learned a lot.
*by T***O on June 3, 2018*

Great book. I purchased to study for the Dell EMC DECA-DS certification, formerly “EMCDSA”. The book uses mostly R code examples which are great and understandable, but it did require me learning a little bit of R to fully comprehend. I come from a Python background and would have preferred more Python examples. There is very little Python based examples, mostly just for text mining. The book does get into Hadoop and related tools, but really at more of a theoretical level or basic overview.

### ⭐⭐⭐⭐ This is a pretty decent book that covers a broad spectrum of topics ...
*by K***S on April 28, 2015*

This is a pretty decent book that covers a broad spectrum of topics including the the analytics life cycle, a brief but concise intro to R, to covering most of the advanced methods for analysis (k-means, linear regression, Naive Bayes, etc). It doesn't shy away from the math - but doesn't overwhelm either and, for the most part, is a fairly easy read. It should be treated as a reference and as a guide for the EMCDSA (EMC Data Science Associate) certification. There are probably better books for those just wading into data science but definitely worth adding to your library. For those who are complaining about no companion code examples it was an easy download from the Wiley website.

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*Product available on Desertcart Australia*
*Store origin: AU*
*Last updated: 2026-03-05*