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I have made this list to help me explore and excel in the interesting field of Data Science and Analytics.
This list covers introductory yet comprehensive books on various topics in the field of Data Science including but not limited to: statistics, data analysis, data mining, machine learning, predictive analytics, big data, map reduce, statistical programming using R and Python.
This list covers introductory yet comprehensive books on various topics in the field of Data Science including but not limited to: statistics, data analysis, data mining, machine learning, predictive analytics, big data, map reduce, statistical programming using R and Python.
Score
A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book.
| 99 |
|
Competing on Analytics: The New Science of Winning; With a New Introduction
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3.69 avg rating — 1,598 ratings
score: 96,
and
1 person voted
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| 102 |
|
Data Mining: Practical Machine Learning Tools and Techniques
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3.90 avg rating — 785 ratings
score: 95,
and
1 person voted
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| 102 |
|
Forecasting: principles and practice
by
Rob J. Hyndman (Goodreads Author)
4.38 avg rating — 312 ratings
score: 95,
and
1 person voted
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| 104 |
|
Programming Collective Intelligence: Building Smart Web 2.0 Applications
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4.07 avg rating — 1,456 ratings
score: 94,
and
1 person voted
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| 105 |
|
Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics)
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4.45 avg rating — 31 ratings
score: 91,
and
1 person voted
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| 106 |
|
Visualizing Data
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3.97 avg rating — 93 ratings
score: 90,
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1 person voted
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| 106 |
|
Programming Perl
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4.06 avg rating — 2,300 ratings
score: 90,
and
1 person voted
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| 108 |
|
Learning Python
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4.01 avg rating — 3,193 ratings
score: 89,
and
1 person voted
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| 109 |
|
Hadoop: The Definitive Guide
by
Tom White (Goodreads Author)
3.93 avg rating — 1,012 ratings
score: 88,
and
1 person voted
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| 109 |
|
Introduction to Regression Modeling (with CD-ROM)
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3.20 avg rating — 5 ratings
score: 88,
and
1 person voted
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| 109 |
|
Learning Perl
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3.99 avg rating — 1,858 ratings
score: 88,
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1 person voted
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| 112 |
|
Big data @ work : dispelling the myths, uncovering the opportunities
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3.58 avg rating — 437 ratings
score: 87,
and
1 person voted
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| 112 |
|
Head First HTML5 Programming
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4.03 avg rating — 411 ratings
score: 87,
and
1 person voted
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| 114 |
|
The Art of UNIX Programming
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4.18 avg rating — 1,265 ratings
score: 86,
and
1 person voted
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| 114 |
|
Credit Scoring, Response Modeling, and Insurance Rating: A Practical Guide to Forecasting Consumer Behavior
by
Steven Finlay (Goodreads Author)
really liked it 4.00 avg rating — 5 ratings
score: 86,
and
1 person voted
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| 116 |
|
JavaScript Demystified
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3.52 avg rating — 29 ratings
score: 85,
and
1 person voted
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| 117 |
|
Head First JavaScript Programming: A Brain-Friendly Guide
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4.24 avg rating — 498 ratings
score: 84,
and
1 person voted
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| 118 |
|
Elementary Statistics: Picturing the World
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3.39 avg rating — 202 ratings
score: 83,
and
1 person voted
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| 118 |
|
The Essential Guide to Effect Sizes: Statistical Power, Meta-Analysis, and the Interpretation of Research Results
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4.40 avg rating — 81 ratings
score: 83,
and
1 person voted
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| 118 |
|
97 Things Every Programmer Should Know: Collective Wisdom from the Experts
by
Kevlin Henney (Editor)
3.63 avg rating — 1,979 ratings
score: 83,
and
1 person voted
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| 121 |
|
Sams Teach Yourself Java in 24 Hours
by
Rogers Cadenhead (Goodreads Author)
3.68 avg rating — 101 ratings
score: 82,
and
1 person voted
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| 122 |
|
C++ Demystified
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3.67 avg rating — 18 ratings
score: 81,
and
1 person voted
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| 123 |
|
Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know
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3.91 avg rating — 878 ratings
score: 80,
and
1 person voted
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| 123 |
|
ExamCram CCENT Exam Cram: Exam 640-822
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3.40 avg rating — 5 ratings
score: 80,
and
1 person voted
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| 125 |
|
Information is Beautiful
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4.12 avg rating — 3,532 ratings
score: 79,
and
1 person voted
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| 125 |
|
Exam Cram CCNA: Exam 640-802
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4.04 avg rating — 23 ratings
score: 79,
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1 person voted
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| 127 |
|
Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences Book 27)
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3.69 avg rating — 13 ratings
score: 78,
and
1 person voted
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| 128 |
|
Marketing Metrics: The Definitive Guide to Measuring Marketing Performance
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3.67 avg rating — 245 ratings
score: 77,
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1 person voted
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| 128 |
|
Joe Celko's Analytics and OLAP in SQL (The Morgan Kaufmann Series in Data Management Systems)
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3.58 avg rating — 19 ratings
score: 77,
and
1 person voted
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| 130 |
|
Joe Celko's Trees and Hierarchies in SQL for Smarties, (The Morgan Kaufmann Series in Data Management Systems)
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3.93 avg rating — 94 ratings
score: 76,
and
1 person voted
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| 131 |
|
ggplot2: Elegant Graphics for Data Analysis
by
Hadley Wickham (Goodreads Author)
4.34 avg rating — 362 ratings
score: 75,
and
1 person voted
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| 132 |
|
Knowledge is Beautiful
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4.18 avg rating — 942 ratings
score: 74,
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1 person voted
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| 133 |
|
Joe Celko's SQL for Smarties: Advanced SQL Programming Third Edition (The Morgan Kaufmann Series in Data Management Systems)
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3.96 avg rating — 201 ratings
score: 73,
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1 person voted
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133 books ·
121 voters ·
list created February 28th, 2013
by Brijesh Bolar (votes) .
Tags:
big-data, data-analytics, data-mining, data-science, hadoop, machine-learning, python, r, statistics
Comments Showing 1-5 of 5 (5 new)
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message 1:
by
Adrian
(new)
Jan 27, 2017 01:43AM
Thanks for the list!
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I have no training in the field, but am just a curious person who wants to avoid the overly simplistic bestsellers. Does anyone have any *very best* recommendations for me? Also, I'm thinking I should probably choose among the newest books, do you agree?
That makes sense. Ok, so:How about a 'very good introduction to some of the concepts' - ?
Cheryl wrote: "That makes sense. Ok, so:How about a 'very good introduction to some of the concepts' - ?"
'Dataclysm' is the place to start! It is really interesting and gives insight into a fantastic data science case study. I think 'The Functional Art' is kind of industry specific, but also does a great job at explaining how and why we do this.
Anyone can add books to this list.
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