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Jingdong book

我最想要的Excel数据分析书

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我最想要的Excel数据分析书

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如果你是一家餐馆,如何根据问卷调查结果调整广告及营销策略?如果你是销售公司,如何根据所有产品的销售记录发现提高销售额的方法?如果你是一个网站,如何根据访问日志区分出高价值的访问用户?如果你是一家企业,如何根据某产品的发货预测其未来的销量以控制采购成本?数据分析对每个人都有用,谁都可以在短时间内学会数据分析不需要高深统计学理论,也不需要专业的统计分析软件以解决实际问题为根本,以如何应对实际问题为体系详细介绍依托Excel进行数据分析的方法,是职场人士数据分析必备
Content Description

在“大数据”的时代,挖掘海量信息的价值被越来越多的人所关注。例如,能否从销量数据中预测以后的销量?从网站访问日志能总结出哪些规律?但绝大多数人并没有正确的意识概念,仅凭自己的感觉或者从别人那里听到的某些经验之谈进行一些假设,并且在假设的前提下再确立数据的分析方向,这样往往会导致数据分析结果的局限性。《我*想要的Excel数据分析书》从统计分析*基础的解决思路开始介绍,然后结合四个实际实用案例进行了讲解,*后阐述了如何利用EXCEL环境,使数据分析更加高效。
Author Description

西内启,1981年出生,毕业于东京大学医学部生物统计学专业,历任东京大学医学系研究科医疗交流学领域助教、大学医院医疗情报网络研究中心副主任、哈佛癌症研究中心客座研究员。
现在致力于通过数据给社会带来革新,对诸多项目的调查、分析、系统开发以及战略立案进行分析与指导。
著有《看穿一切数字的统计学》。
Catalogue

第1章 用数据分析解决问题的基本思路001
数据分析的正确方法:要想分析有价值,需要注意这几点002
确定直接与利润挂钩的要素:输出结果008
确定应关注的分析对象:分析单位011
找出产生差异的“特征”:解释变量017
自动确定分析方法:定性数据与定量数据020
时刻牢记三点进行分析024
数据分析前软件准备025
第2章 初级数据分析实例:如何增加营业额027
分析1:顾客的性别和婚姻情况会对营业额产生影响吗035
分析2:光顾次数与消费金额之间存在什么关系048
分析3:多元回归分析要做的准备―虚拟变量056
分析4:梳理影响销售的多个要因060
报告:我们应该采取什么措施来提高营业额呢 067
第3章 进阶数据分析实例1:拟定办公用品的营销战略 071
分析1:将销售数据重新统计成以员工为单位的数据079
分析2:合并销售、入职测试、压力测试的数据089
分析3:明确每位员工身上影响销售的特征099
报告:有良好销售业绩的是怎样的员工 104
第4章 进阶数据分析实例2:根据网站日志分析顾客行为 109
分析:对各类页面的访问次数进行多元回归分析 115
报告:具有何种行为的用户会贡献较高的销售额 118
第5章 进阶数据分析实例3:预测产品销量121
分析1:将各月的特征和过去的销量用作解释变量128
分析2:对各月的虚拟变量和销量进行多元回归分析134
分析3:预测今后的销量139
报告:准备多少库存伸缩量才能有效抑制机会损失的风险呢 145
第6章 活用高级技巧,让分析更高效、更深入147
软件准备:促进Excel进化为BI工具的PowerBI与SQLServer 148
活用术1:提高数据合并的效率150
活用术2:使用数据挖掘功能的多元回归分析156
活用术3:进行定性输出结果分析的朴素贝叶斯分类162
活用术4:分析会对输出结果产生影响的类型167
活用术5:迅速进行时间序列分析177
活用术6:分析结果的可视化182
第7章 本书总结189
后 记 197
How to 索引 199

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