Data Analytics for Absolute Beginners A Deconstructed Guide to Data Literacy
"While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding--treated in this book as data literacy--resides in knowing what lies behind the data. Everything from the data's source to the specific choice of input variables, algor...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
United States
Scatterplotpress.com
2019
|
| Edition: | Second edition |
| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Add Tag MARC
| LEADER | 00000nam a2200000#i 4501 | ||
|---|---|---|---|
| 001 | wils-975687 | ||
| 005 | 20220710434 | ||
| 008 | 220411t2019 XXU a## ##001 #deng|D | ||
| 020 | # | # | |a 9781081762469 |q paperback |
| 020 | # | # | |a 1081762462 |q paperback |
| 040 | # | # | |a DLC |b eng |d UiTM |e rda |
| 041 | 0 | # | |a eng |
| 090 | 0 | 0 | |a QA76.9.D3 |b T44 2019 |
| 100 | 1 | # | |a Theobald, Oliver |e author |
| 245 | 1 | 0 | |a Data Analytics for Absolute Beginners |b A Deconstructed Guide to Data Literacy |c Oliver Theobald |
| 250 | # | # | |a Second edition |
| 264 | # | 1 | |a United States |b Scatterplotpress.com |c 2019 |
| 264 | # | 4 | |c ©2019 |
| 300 | # | # | |a 153 pages |b illustration |c 23cm |
| 336 | # | # | |a text |2 rdacontent |
| 337 | # | # | |a unmediated |2 rdamedia |
| 338 | # | # | |a volume |2 rdacarrier |
| 504 | # | # | |a Includes bibliographical notes and recommended sources |
| 505 | 0 | # | |a The collection of data -- storing data -- variables -- data scrubbing -- methodology -- algorithms -- regression analysis -- clustering analysis -- association analysis & sequence mining -- natural language processing -- data visualization -- business intelligence -- recommended resources |
| 520 | # | # | |a "While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding--treated in this book as data literacy--resides in knowing what lies behind the data. Everything from the data's source to the specific choice of input variables, algorithmic transformations, and visual representation shape the accuracy, relevance, and value of the data and mark its journey from raw data to business insight. It's also important to grasp the terminology and basic concepts of data analytics as much as it is to have the financial literacy to be successful as a decisionmaker in the business world. In this book, we make sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages to set you on your path."--Page 4 of cover |
| 526 | 0 | # | |a ICMXXX |b IM245 |5 IM |
| 526 | 0 | # | |a Information Analytics |b Bachelor of Information Science (Hons) Information Systems Management |5 Faculty of Information Management |
| 650 | # | 0 | |a Information Technology |x Management |z United States |
| 650 | # | 0 | |a Database management |
| 650 | # | 0 | |a Data mining |
| 856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=975687 |
| 998 | # | # | |a 00250##a007.2||00250##b007.2||00264#1a007.2||00264#1b007.2||00300##a007.2||00300##b007.2||00300##c007.2||00520##a007.2||00520##b007.2|| |
Data preparation for data mining