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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and
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eBay item number:363344840037
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Practical Statistics for Data Scientists: 50+ Essential Concepts
- Publication Date
- 2020-06-29
- Edition Number
- 2
- ISBN
- 9781492072942
- Subject Area
- Computers, Mathematics
- Publication Name
- Practical Statistics for Data Scientists : 50+ Essential concepts Using Rand Python
- Item Length
- 9.2 in
- Publisher
- O'reilly Media, Incorporated
- Subject
- Data Processing, Databases / Data Warehousing, Databases / Data Mining, Mathematical Analysis
- Publication Year
- 2020
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.9 in
- Item Width
- 7 in
- Item Weight
- 22.3 Oz
- Number of Pages
- 360 Pages
About this product
Product Information
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you'll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
149207294x
ISBN-13
9781492072942
eBay Product ID (ePID)
3038764333
Product Key Features
Publication Name
Practical Statistics for Data Scientists : 50+ Essential concepts Using Rand Python
Format
Trade Paperback
Language
English
Subject
Data Processing, Databases / Data Warehousing, Databases / Data Mining, Mathematical Analysis
Publication Year
2020
Type
Textbook
Subject Area
Computers, Mathematics
Number of Pages
360 Pages
Dimensions
Item Length
9.2 in
Item Height
0.9 in
Item Width
7 in
Item Weight
22.3 Oz
Additional Product Features
Edition Number
2
LCCN
2018-420845
Intended Audience
Scholarly & Professional
Lc Classification Number
Qa276.4.B78 2020
Dewey Decimal
001.4/22
Dewey Edition
23
Illustrated
Yes
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eBay item number:363344840037
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