Programming Skills For Data Science (Record no. 5245)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02362nam a2200205Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | RRU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230604230947.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210901s2019 ||||||||| ||||||| 0|eng|d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789389552928 |
| Printed Price | Rs 549.00 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | RRU |
| Language of cataloging | English |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | Eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Class No. | 519.502855133 |
| Item number | MIC |
| 100 ## - FIRST AUTHOR (IF A PERSON) | |
| 9 (RLIN) | 5012 |
| Name of author | Michael Freeman |
| 245 #0 - TITLE STATEMENT | |
| Title | Programming Skills For Data Science |
| Statement of responsibility | Michael Freeman |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | Apress |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| No. of pages | 376p. |
| Other physical details | 20.3 x 25.4 x 4.7 cm |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Programming Skills for Data Science brings together all the foundation skills needed to transform raw data into actionable insights for domains ranging from urban planning to precision medicine, even if you have no programming or data science experience. Guided by expert instructors Michael Freeman and Joel Ross, this book will help learners install the tools required to solve professional-level data science problems, including widely used R language, RStudio integrated development environment, and Git version-control system. It explains how to wrangle data into a form where it can be easily used, analyzed, and visualized so others can see the patterns uncovered. Step by step, students will master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Features: 1. Guides students through setting up their computer for data science, understanding how the pieces fit together, and successfully using them to solve real problems. 2. Introduces R, RStudio, git, GitHub, Markdown, Shiny, and other leading tools. 3. Covers everything from preparing raw data to creating beautiful, sharable visualizations. 4. Anticipates questions and demystifies complex ideas, reflecting the authors’ experience introducing data science to thousands of students. Table of Contents: 1) Using the Command Line 2) Version Control with git and GitHub 3) Using Markdown for Documentation 4) Introduction to R 5) Functions in R 6) Vectors and Lists 7) Data and Data Frames 8) Manipulating Data with dplyr 9) Reshaping Data with tidyr 10) Accessing Databases and Web APIs 11) Designing Data Visualizations 12) Creating Visualizations with ggplot2 13) Interactive Visualization in R 14) Dynamic Reports with R Markdown 15) Building Interactive Web Applications with Shiny 16) Working Collaboratively |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject heading | Technology |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan (e.g. reference copy) | Home library | Current library | Date acquired | Inventory number | Total Checkouts | Full call number | Accession No | Date last seen | Item MRP (printed price) | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Rashtriya Raksha University | Rashtriya Raksha University | 15/12/2020 | 08279 | 519.502855133 MIC | 8279 | 02/09/2021 | 549.00 | 02/09/2021 | Books |