商业分析（BA) --芝加哥大学课程解析

芝加哥大学分析学的课程特点：

Analytics Coursework Focuses on: 

Acquiring avance proficiency in applying state-of-the-art ata engineering an software skills to support a variety of analytics applications 

Learning ata collection an preparation methoologies incluing ientifying relevant ata sources, preparing ata for analytics, an automating the ata preparation process 

Gaining an in-epth unerstaning of establishe an state-of-the-art statistical moeling, machine learning, an artificial intelligence techniques 

Designing an implementing applie research by using analytics tools relevant to strategic business issues, while working with real ata sets provie by our inustry partners in the Capstone project 

Builing effective leaership an communication skills which inclues eveloping impactful, practical solutions an unerstaning the marriage between business an analytics strategy

CORE COURSES 

 Core courses allow stuents to buil their theoretical analytics knowlege an practice applying this theory to examine business problems. The require Leaership Skills core course teaches how to make the ties between ata analysis learnings an business objectives. Each of the nine core courses is require to earn the Master of Science in Analytics.

MSCA 31001: Research Design for Business Applications

MSCA 31003: Leaership Skills: Teams, Strategies, an Communications

MSCA 31006: Time Series Analysis an Forecasting

MSCA 31007: Statistical Analysis

MSCA 31008: Data Mining Principles

MSCA 31009: Machine Learning an Preictive Analytics

MSCA 31010: Linear an Nonlinear Moels for Business Applications

MSCA 31012: Data Engineering Platforms for Analytics

MSCA 31013: Big Data Platforms