Practical Data Science with R (Record no. 296380)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01960nam a22001577a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978935194378 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 ZUM-P |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nina Zumel |
| 245 ## - TITLE STATEMENT | |
| Title | Practical Data Science with R |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | Dreamtech Press |
| Date of publication, distribution, etc. | 2014 |
| Place of publication, distribution, etc. | New Delhi |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 389 p. :ill |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics. Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels. This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed. What's inside: Data science for the business professional; Statistical analysis using the R language; Project lifecycle, from planning to delivery; Numerous instantly familiar use cases; Keys to effective data presentations--Publisher website |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | R (Computer program language) Mathematical statistics -- Data processing. R (Lenguaje de programación para computadora) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | John Mount |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dept. of Computational Biology and Bioinformatics | Dept. of Computational Biology and Bioinformatics | Processing Center | 26/04/2017 | 5 | 006.3 ZUM-P .CP(PL) | DCB3088 | 25/11/2020 | 14/10/2020 | 19/07/2019 | Book |