数据分析

数据分析课程介绍管理和分析大规模数据的方法。您将学习数据挖掘、大数据应用以及数据产品开发,成为一名数据科学家。

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AI is not only for engineers. This non-technical course will help you apply AI in your own organization.

Earn the same diploma as on-campus students. Performance-based entry, no application required.

热门课程

最热门课程

顶级评分课程

面向非从业人员的数据科学

数据科学基础入门

攻读伊利诺伊大学计算机科学硕士 (MCS) 学位

成为数据科学家

    关于 数据分析 的常见问题

  • Data analysis is the process of applying statistical analysis and logical techniques to extract information from data. When carried out carefully and systematically, the results of data analysis can be an invaluable complement to qualitative research in producing actionable insights for decision-making.

    If that sounds a lot like data science, you’re right! It’s a closely related field, but there are important differences. Data scientists typically come from computer science and programming backgrounds and rely on coding skills to build algorithms and analytic models to automate the processing of data at scale. Data analysts typically have backgrounds in mathematics and statistics, and frequently apply these analytic techniques to answer specific business problems - for example, a financial analyst at an investment bank.