| 期刊全稱(chēng) | Business Analytics | | 期刊簡(jiǎn)稱(chēng) | Data Science for Bus | | 影響因子2023 | Walter R. Paczkowski | | 視頻video | http://file.papertrans.cn/193/192028/192028.mp4 | | 發(fā)行地址 | Uses case studies to illustrate concepts.Presents examples using Python in the context of Jupyter notebooks with Programming Literacy examples.Features appendices with technical details | | 圖書(shū)封面 |  | | 影響因子 | .This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of:..1. statistical, econometric, and machine learning techniques;..2. data handling capabilities;..3. at least one programming language...Practical in orientation, the volume offers illustrative case studies throughout and examples using Python in the context of Jupyter notebooks. Covered topics include demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics. It can also be used in colleges and universities offering courses and certifications in business data analytics, data science, and market research.. | | Pindex | Book 2021 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-11 13:58
發(fā)表于 2025-3-21 18:45:30
