This course enables students to establish the difference between databases and data warehousing. Students will learn how to manage and create data warehouses from large datasets in a corporate setting. 因为这是如何实现数据的新趋势, 还将探索数据仓库的可能改进.

本Curriculum介绍数据可视化领域. Students learn basic 可视化 design principles to produce meaningful displays of quantitative and qualitative data in order to enhance the managerial decision making process. 学生将学习可视化序列的各种技术, 基于文本的, 地理空间, 分层数据和大型数据集. Foci covered include data selection, data cleaning, data analysis, data presentation methods. Students will apply analysis and data 可视化 design principles to the design of interactive business dashboards and reports. 学生将以多种形式向一系列观众展示他们的作品. 本Curriculum将向学生介绍各种可视化软件工具.
 

The focus of this course is mainly on prescriptive analytics with some parts focused on predictive analytics. Prescriptive analytics seeks to determine the best solution or outcome among various alternatives for a given situation, as well as suggest decision options for how to take advantage of a future opportunity or mitigate a future risk and illustrate the implications of each decision option. 在本Curriculum中, 学生将熟悉这些技术, 支持管理决策的工具和应用程序. The emphasis will be on the formulation of different optimization problems and the use of appropriate quantitative techniques to solve these problems.

This course offers an introduction to tools to enhance managerial decision making at all levels of the organization and across business units. 学生们将面临一个问题, 问题或决定，并将被要求使用数据技术开发解决方案. 数据将从一组源(内部或外部，数据格式)中提取。. Students will also be asked to choose the appropriate models, tools and methods for analysis.

The capstone course provides students with an opportunity to synthesize what they have learned about analytics during their graduate degree program. Students will integrate and apply analytical skills and knowledge acquired in the previous courses – including data management, 大数据, 可视化, 数据挖掘, 预测和优化技术, 还有统计学——在现实环境中完成一个涉及实际数据的项目.