MARC details
000 -LEADER |
fixed length control field |
02696aam a2200217 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200318b 2019 ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781484249062 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.74068 |
Item number |
G7M2 |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Graaf, Robert de |
9 (RLIN) |
395242 |
245 ## - TITLE STATEMENT |
Title |
Managing your data science projects: learn salesmanship, presentation, and maintenance of completed models |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Name of publisher, distributor, etc. |
Apress |
Date of publication, distribution, etc. |
2019 |
Place of publication, distribution, etc. |
California |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xii, 144 p. |
Other physical details |
Includes illustrations, bibliographical references and index |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Table of Contents<br/><br/>Data science team strategy<br/>Data science strategy for projects<br/>Data science sales technique<br/>Believable models<br/>Reliable models<br/>Promoting your data science work<br/>Team efficiency<br/>Afterword.<br/><br/> |
520 ## - SUMMARY, ETC. |
Summary, etc. |
At first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be fooled. Impactful data science demands an interdisciplinary knowledge of business philosophy, project management, salesmanship, presentation, and more. In Managing Your Data Science Projects, author Robert de Graaf explores important concepts that are frequently overlooked in much of the instructional literature that is available to data scientists new to the field. If your completed models are to be used and maintained most effectively, you must be able to present and sell them within your organization in a compelling way.<br/>The value of data science within an organization cannot be overstated. Thus, it is vital that strategies and communication between teams are dexterously managed. Three main ways that data science strategy is used in a company is to research its customers, assess risk analytics, and log operational measurements. These all require different managerial instincts, backgrounds, and experiences, and de Graaf cogently breaks down the unique reasons behind each. They must align seamlessly to eventually be adopted as dynamic models.<br/>Data science is a relatively new discipline, and as such, internal processes for it are not as well-developed within an operational business as others. With Managing Your Data Science Projects, you will learn how to create products that solve important problems for your customers and ensure that the initial success is sustained throughout the product’s intended life. Your users will trust you and your models, and most importantly, you will be a more well-rounded and effectual data scientist throughout your career.<br/><br/>https://www.apress.com/gp/book/9781484249062 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Big data |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Database management |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Project management |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Success in business |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Employees - Coaching of leadership |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |