Data Science
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1 Agile Data Science
2 Agile Data Science 2.0
3 Apache Cassandra Essentials
4 Apache Flume 2nd Ed
5 Apache Hive Essentials
6 Bayesian Methods for Hackers
7 Becoming A Data Head
8 Beyond Big Data
9 Big Data
10 Big Data
11 Big Data Analytics
12 Big Data Analytics With Microsoft HDInsight In 24 Hours
13 Big Data Analytics with Spark
14 Big Data and the Internet of Things
15 Big Data For Chimps
16 Big Data Fundamentals
17 Big Data Made Easy
18 Big Data: A Very Short Introduction
19 D3.js in Action
20 Data Analytics With Hadoop
21 Data Analytics With Spark Using Python
22 Data Cleaning Pocket Primer
23 Data Mining, Practical Machine Learning Tools and Techniques
24 Data Professionals At Work
25 Data Science and Big Data Analytics
26 Data Science Tools
27 Data Visualization with Python and JavaScript
28 Doing Data Science
29 Efficient R Programming
30 Elasticsearch The Definitive Guide
31 Fast Data Processing with Spark (2nd Ed)
32 Field Guide to Hadoop
33 Getting Started With Data Science
34 Getting Started with Impala
35 Graph Analysis and Visualization
36 Hadoop Application Architectures
37 Hadoop Essentials
38 Hadoop for Finance Essentials
39 Hadoop in 24 Hours
40 Hadoop Interview Guide
41 Hadoop: The Definitive Guide (4th ed)
42 Kafka: The Definitive Guide
43 Learning Spark
44 Learning To Love Data Science
45 Mastering Apache Spark
46 Mastering Azure Analytics
47 Mastering Search Analytics
48 Monitoring Hadoop
49 Pandas for Everyone: Python Data Analysis
50 Practical Statistics for Data Scientists
51 Professional Hadoop
52 Programming Elastic MapReduce
53 Programming Skills for Data Science
54 QlikView Essentials
55 R for Data Analysis (In Easy Steps)
56 R For Everyone, 2nd Ed
57 R in Action: Data Analysis and Graphics with R (2e)
58 Scalable Big Data Architecture
59 Spark In Action
60 Spark in Action, 2nd Ed (Manning)
61 SQL Server 2017 Machine Learning Services with R
62 Statistics Done Wrong
63 Storm Applied
64 Think Like a Data Scientist
65 Total Information Risk Management
66 Visualizing Graph Data