企业分析理学硕士

在当今数据驱动的世界中，分析是公司日常运营的一部分。困难的部分是找到受过数据分析培训的员工，他们不仅要了解和利用分析工具，还要为下一步进行清晰，明确的建议以跟进他们的分析。成功的数据分析来自许多不同的技能。为了确定要收集哪些数据，您需要了解业务和市场前景，以便确定适合您目的的数据。您需要知道如何收集这些数据，什么工具是最好的分析工具，如何将结果转化为首席执行官将理解的故事，以及如何使用该数据为企业级决策提供建议，这将在很大程度上影响组织的方向。<br> <br>围绕大数据的职业机会从未如此巨大。企业分析中
In today's data-driven world, analytics is a part of everyday company operation. The difficult part is finding employees trained in data analytics with the skills to not only understand and utilize analytics tools but to follow up their analysis with clear, definitive recommendations for the next step. Successful data analysis pulls from many different skill sets. In order to determine what data to collect, you need to understand the business and market landscape so you can determine what data would suit your purpose. You need to know how to gather that data, what tools are the best to analyse it, how to translate the results into a story the CEO will understand, and how to use that data to make recommendations for enterprise-level decision making that will heavily impact the direction of the organization.<br><br>The career opportunities around Big Data have never been greater. The MS in Enterprise Analytics combines computer science, statistics, data warehousing, database design, and data mining into a program that includes advanced analytics skills, a foundation in data science technology architectures, database programming, and algorithmic thinking to source data, build queries, develop reports, and build enterprise applications that extract maximum value and recognize patterns or anomalies in Big Data sets.