國立高雄大學圖資館 |

登入

回首頁

Data science and analytics for SMEsconsulting, tools, practical use cases /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data science and analytics for SMEsby Afolabi Ibukun Tolulope.
其他題名:	consulting, tools, practical use cases /
作者:	Tolulope, Afolabi Ibukun.
出版者:	Berkeley, CA :Apress :2022.
面頁冊數:	xvii, 335 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Business requirements analysis.
電子資源:	https://doi.org/10.1007/978-1-4842-8670-8
ISBN:	9781484286708$q(electronic bk.)

Data science and analytics for SMEsconsulting, tools, practical use cases /
Tolulope, Afolabi Ibukun.

Data science and analytics for SMEsconsulting, tools, practical use cases /[electronic resource] :by Afolabi Ibukun Tolulope. - Berkeley, CA :Apress :2022. - xvii, 335 p. :ill., digital ;24 cm.

Chapter 1: Introduction -- Chapter 2: Data for Analytics in Small Businesses -- Chapter 3: Business Analytics Consulting -- Chapter 4: Business Analytics Consulting Phases -- Chapter 5: Descriptive Analytics Tools -- Chapter 6: Predicting Numeric Outcomes -- Chapter 7: Classification Techniques -- Chapter 8: Advanced Descriptive Analytics -- Chapter 9: Case Study Part 1 -- Chapter 10: Case Study Part 2.

Master the tricks and techniques of business analytics consulting, specifically applicable to small-to-medium businesses (SMEs) Written to help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects of a business' operations. SMEs are looking for ways to use data science and analytics, and this need is becoming increasingly pressing with the ongoing digital revolution. The topics covered in the books will help to provide the knowledge leverage needed for implementing data science in small business. The demand of small business for data analytics are in conjunction with the growing number of freelance data science consulting opportunities; hence this book will provide insight on how to navigate this new terrain. This book uses a do-it-yourself approach to analytics and introduces tools that are easily available online and are non-programming based. Data science will allow SMEs to understand their customer loyalty, market segmentation, sales and revenue increase etc. more clearly. Data Science and Analytics for SMEs is particularly focused on small businesses and explores the analytics and data that can help them succeed further in their business. You will: Create and measure the success of their analytics project Start your business analytics consulting career Use solutions taught in the book in practical uses cases and problems.

ISBN: 9781484286708$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-8670-8doiSubjects--Topical Terms:

776834
Business requirements analysis.

LC Class. No.: HD30.28 / .T65 2022

Dewey Class. No.: 658.4038

Data science and analytics for SMEsconsulting, tools, practical use cases /
LDR:02858nmm a2200325 a 4500 001 630235
003 DE-He213
005 20220928135503.0
006 m d
007 cr nn 008maaau
008 230329s2022 cau s 0 eng d
020 $a 9781484286708$q(electronic bk.)
020 $a 9781484286692$q(paper)
024 7 $a 10.1007/978-1-4842-8670-8 $2 doi
035 $a 978-1-4842-8670-8
040 $a GP $c GP
041 0 $a eng
050 4 $a HD30.28 $b .T65 2022
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 658.4038 $2 23
090 $a HD30.28 $b .T654 2022
100 1 $a Tolulope, Afolabi Ibukun. $3 935369
245 1 0 $a Data science and analytics for SMEs $h [electronic resource] : $b consulting, tools, practical use cases / $c by Afolabi Ibukun Tolulope.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2022.
300 $a xvii, 335 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Introduction -- Chapter 2: Data for Analytics in Small Businesses -- Chapter 3: Business Analytics Consulting -- Chapter 4: Business Analytics Consulting Phases -- Chapter 5: Descriptive Analytics Tools -- Chapter 6: Predicting Numeric Outcomes -- Chapter 7: Classification Techniques -- Chapter 8: Advanced Descriptive Analytics -- Chapter 9: Case Study Part 1 -- Chapter 10: Case Study Part 2.
520 $a Master the tricks and techniques of business analytics consulting, specifically applicable to small-to-medium businesses (SMEs) Written to help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects of a business' operations. SMEs are looking for ways to use data science and analytics, and this need is becoming increasingly pressing with the ongoing digital revolution. The topics covered in the books will help to provide the knowledge leverage needed for implementing data science in small business. The demand of small business for data analytics are in conjunction with the growing number of freelance data science consulting opportunities; hence this book will provide insight on how to navigate this new terrain. This book uses a do-it-yourself approach to analytics and introduces tools that are easily available online and are non-programming based. Data science will allow SMEs to understand their customer loyalty, market segmentation, sales and revenue increase etc. more clearly. Data Science and Analytics for SMEs is particularly focused on small businesses and explores the analytics and data that can help them succeed further in their business. You will: Create and measure the success of their analytics project Start your business analytics consulting career Use solutions taught in the book in practical uses cases and problems.
650 0 $a Business requirements analysis. $3 776834
650 0 $a Knowledge management. $3 200613
650 0 $a Small business. $3 210002
650 1 4 $a Big Data. $3 760530
650 2 4 $a Data Analysis and Big Data. $3 913147
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Small Business. $3 732010
650 2 4 $a Entrepreneurship. $3 183598
650 2 4 $a Business Process Management. $3 714086
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-8670-8
950 $a Business and Management (SpringerNature-41169)