书名：数字经济专业实验教程
定价：59.0
ISBN：9787301363768
作者：黄平 主编
版次：1
出版时间：2025-05

内容提要：

本书遵循从理论到实践的原则，介绍数字经济专业的基本知识、基本方法与基本技术，并按照“基础实验—设计实验—应用实践—综合实验”层次编写。全书分4篇8章内容，具体包括数字经济基础与原理、核心技术简介、商业智能与数据分析、人工智能与大数据应用、云计算与区块链技术应用、数字金融实践、数字贸易实践、数字经济综合实验。本书旨在提供一本全面、深入、实用的数字经济学习工具书，以提高应用型本科学生的实践操作能力和解决实际问题的能力。本书可作为数字经济学本科专业及其他经管类相关课程的教材。

作者简介：

黄平 主编。黄平，经济学博士，贵州商学院经济与金融学院副教授，数字经济专业教研室副主任。主要研究方向：数字经济、区域规划与区域政策。公开发表学术论文10多篇，编写专著1部，获得地级市哲学社科奖2项；任教以来主持贵州省哲学社会科学项目《贵州数字经济与绿色发展的高质量耦合协同机制研究》一项，主持产学研《数字经济专业师资培训》《数字化治理调查实践教学基地建设 》两项。

目录：
第1 章 人工智能 ································ 1
1.1 人工智能基本技术 ······················ 3
1.1.1 监督学习和无监督学习 ······· 3
1.1.2 机器学习应用与实践 ·········· 3
1.1.3 自然语言处理研究方向 ······· 5
1.1.4 计算机视觉研究方向 ·········· 7
1.2 AI 大模型智能投研 ···················· 12
1.2.1 行业的商业模式分析 ········· 12
1.2.2 行业的竞争格局分析 ········· 14
1.3 AI 大模型智能投顾 ···················· 18
1.3.1 投资顾问提示词工程配置 ························ 18
1.3.2 投资知识学习 ·················· 19
1.3.3 辅助完成投资建议 ············ 22
1.3.4 为客户制定理财规划 ········· 25
1.3.5 客户关系维护 ·················· 27
1.4 AI 大模型基金广告宣传 ·············· 31
1.4.1 借助AI 大模型完成创意简报 ························ 31
1.4.2 借助AI 大模型撰写新媒体文案 ····················· 34
1.4.3 AI 大模型辅助多渠道内容分发 ························ 40
1.4.4 AI 大模型辅助生成宣传视频 ······························ 42
1.5 本章小结 ································· 47
1.5.1 关键词 ··························· 47
1.5.2 实际操作训练 ·················· 48
第2 章 区块链 ·································· 49
2.1 区块链关键技术 ························ 51
2.1.1 区块链与P2P ·················· 51
2.1.2 加密学 ·························· 53
2.1.3 密码学 ·························· 54
2.1.4 共识机制 ······················· 57
2.1.5 联盟链智能合约 ·············· 64
2.2 区块链搭建实操：以联盟链为例 ······································ 68
2.2.1 创建组织和机构 ·············· 68
2.2.2 组建联盟链网络 ·············· 73
2.2.3 组建业务链 ···················· 79
2.2.4 部署智能合约 ················· 86
2.2.5 运行联盟链应用与链上管理 ······················· 91
2.3 本章小结 ································ 97
2.3.1 关键词 ·························· 97
2.3.2 实际操作训练 ················· 97
第3 章 大数据 ·································· 98
3.1 电商大数据工具应用 ················ 100
3.1.1 数据采集 ······················ 102
3.1.2 数据清洗 ······················ 104
3.1.3 数据集成 ······················ 127
3.1.4 数据可视化 ··················· 153
3.1.5 数据挖掘 ······················ 175
3.2 电商市场环境分析 ··················· 185
3.2.1 电商行业发展分析 ·········· 188
3.2.2 市场需求分析及预测 ······· 211
3.2.3 竞店数据分析 ················ 219
3.3 DY 店铺流量分析 ···················· 226
3.3.1 2021 年DY 店铺流量
总体情况分析 ················ 228
3.3.2 2022 年DY 店铺流量
总体情况分析 ················ 231
3.3.3 DY 店铺流量结构分析 ····· 234
3.3.4 DY 店铺流量转化分析 ····· 235
3.3.5 DY 店铺转化漏斗分析 ····· 240
3.4 销售订单分析 ························· 242
3.4.1 交易构成分析 ················ 244
3.4.2 订单对比分析 ················ 252
3.5 本章小结 ······························· 256
3.5.1 关键词 ························· 256
3.5.2 实际操作训练 ················ 257
第4 章 数字金融 ····························· 258
4.1 商业保理实操 ························· 260
4.1.1 前期准备 ······················ 262
4.1.2 应收账款确权 ················ 279
4.1.3 融资审批 ······················ 285
4.1.4 放款与履约 ··················· 290
4.1.5 后期管理 ······················ 302
4.2 跨境清算实操 ························· 307
4.2.1 传统银行跨境清算角色分析 ······················ 309
4.2.2 区块链跨境清算数据分析 ······················ 314
4.2.3 区块链跨境清算网络分析 ······················ 318
4.3 本章小结 ······························· 321
4.3.1 关键词 ························· 321
4.3.2 实际操作训练 ················ 321
参考文献 ··········································· 322
附录 AI 伴学内容及提示词 ·············· 323