百家乐怎么玩-澳门百家乐官网娱乐城网址_网上百家乐是不是真的_全讯网888 (中国)·官方网站

COURSES >>>

MKT4636 - Customer Analytics

Offering Academic Unit
Department of Marketing
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester B 2024/25
Semester B 2025/26 (Tentative)

* The offering term is subject to change without prior notice
 
Course Aims

Nowadays data are expanding faster than ever and we are facing Big Data challenges. This course will equip students with key data analytic skills to analyse customer data and managerial skills to recommend more profitable marketing actions (4Ps) based on the insights from data. Students will work in a group to analyse a real customer data and solve a real marketing problem. Each lecture will present a friendly introduction of concepts and theories behind each analytic tool, followed by a demonstration on how to apply the tool (using SPSS and Excel) to a real-world dataset in order to solve a marketing problem. More topics at the frontier of today’s marketing scene, such as machine learning and artificial intelligence, will also be discussed.??

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 70%
Examination: 30%
Examination Duration: 2 hours
 
Detailed Course Information

MKT4636.pdf

Useful Links

Department of Marketing

金都百家乐现金网| 百家乐77scs官| 博联百家乐游戏| 六合彩天线宝宝| 太阳百家乐官网3d博彩通| 百家乐国际娱乐平台| 什么是百家乐官网的大路| 在线百家乐官网3d| 百家乐闲庄和| 百家乐官网开户送彩金28| 免水百家乐的玩法技巧和规则| 武汉百家乐官网庄闲和| 大发888赌场娱乐网规则| 百家乐官网筹码14克粘土| 大发888真钱赌场娱乐网规则 | 百家乐官网开户优惠多的平台是哪家| 大发888扑克场下载| 百家乐官网赚钱项目| 新濠百家乐娱乐场| 真人百家乐ea平台| 最好百家乐官网的玩法技巧和规则 | e世博备用网址| 杨公24山日课应验诀| 百家乐官网陷阱| 威尼斯人娱乐平台反水| 百家乐官网又称什么| 百家乐官网技真人荷官| 太阳城百家乐投注| 尊龙百家乐娱乐场开户注册| 玩百家乐官网澳门皇宫娱乐城 | 模拟百家乐官网下载| 百家乐官网大赢家客户端| 赌场少女| 真钱博彩网| 总统娱乐城| 利来国际网上| 电玩百家乐的玩法技巧和规则 | 电子百家乐官网破| 百家乐官网闲单开多少| 金宝博188滚球| 百家乐对保|