商业分析和数字媒体

Business Analytics and Digital Media

700 次查看
印度商学院
Coursera
  • 完成时间大约为 9 个小时
  • 初级
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

课程概况

The explosion in digital media – web, social and now mobile – represents a departure from how things were like in the last century. This proliferation of digital media is both a threat and an opportunity for many businesses. Business Analytics can be leveraged to process data, sentiment, buzz, contacts, context and other aspects of business interest in real time, for business performance and impact. The course picks and uses use-cases from a variety of industries and geographies, to showcase the potential and impact that business analytics done properly (or not) can have on business performance.

课程大纲

Introduction to Business Analytics

An overview of the what and the why

Learning outcomes by the end of week 1 should normatively be that (a) Students grasp what is business analytics from the perspective of a business manager, (b) identify areas of interest, overlap, co-ordination and conflict with other business functions and processes in the firm, (c) and, develop an appreciation for the value of data, of analyses and of the components of analytics.

Toolscape

An overview of the broad tools available for business analytics and the leveraging of digital media.

Learning outcomes by the end of week 2 should normatively be that (a) Students have an understanding of the broad classes of analytics tools and platforms that currently dominate the market, (b) and, develop an appreciation for the pros and cons of the major groups of tools.

Customer Analytics

Introduction to and the application of some important analytical processes in Marketing Analytics

Learning outcomes by the end of week 3 should normatively be that (a) Students have an understanding of the major processes and procedures typically used in a customer analytics setting, in particular factor and cluster analyses (b) and, develop an appreciation for the possibilities that emerge from recombining procedures, data, algorithms and problem formulation perspectives in open source environments.

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