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商业数据分析

工商经济学院

大学辅修课程的价值

通过声明未成年人, you’ll have the opportunity to pursue interests that might lie outside of your major. Gaining extra knowledge in an area that interests you can also help you in your future career! Not only will your skills and knowledge be more well-rounded, but you’ll also prove to future employers that you’re willing to work hard and exceed their expectations.

课程

  • 商业数据分析
  • 18个单位
  • BUS 201: Introduction to Management, 市场营销 and Information Technology
  • 3

This survey course will look at today's American 业务 systems including a study of various types of 业务es and the information they gather, 商店, 和过程, including administration and management of people, 设施, 和信息. Course will include relevant computer experience simulating 业务 situations.

  • BDA 337: Introduction to 商业数据分析
  • 3

This is an introductory course teaching applied job skills in close connection to the concepts and theories that drive the daily decisions relevant to data analysis and 业务 intelligence. Each module focuses on a primary theme with real world cases where students will start by grappling with 业务 problems and the underlying data to methodically drill down and solve problems from a technical approach. 这些主题包括, 统计学的应用, data 可视化 tools in Excel, 线性回归, 时间量系列, 分类算法, 数据偏差.

  • BDA 338: Data Wrangling and Decision Making
  • 3

Data wrangling transforms and maps raw data into formats highly useful for analytics and improved decision making. The course is structured to provide students with in‐demand job skills in SQL focusing on real‐world applications from companies such as YouTube and Kickstarter. 在线讲座的组合, live discussions with course instructors and classmates refine student capability in applying SQL tools (no coding experience is required) to 业务 situations. 前提条件:BDA 337.

  • BDA 436:数据可视化
  • 3

Data 可视化 is an interdisciplinary field that deals with the visual representation of information and data through graphs, 地图和图表来识别, understand and communicate trends, 模式,有时是异常值. This course is structured to provide students the tools to design usable dashboards using real‐world datasets from Uber, 《亚洲体育博彩平台》, 美国人口普查局和其他机构. 在线讲座的组合, live discussions with course instructors and classmates refine student capability in applying Tableau (no coding experience is required) to 业务 situations. 前提条件:BDA 337.

  • BDA 437: Fundamentals of Machine Learning
  • 3

This course focuses on developing programming skills relevant to data analysis and machine learning with a focus on real‐world applications. State‐of‐the‐art low‐code solutions are used throughout the course, allowing students to immediately begin running models that focus on understanding conceptual material first before diving deeper into technical details. Students use the Python programming language, along with a complete set of open source tools. The material covers the various phases of exploratory data analysis: importing data, 清理和转换数据, 算法思想, 分组和聚合, 可视化, prediction and communication of results. 前提条件:BDA 337 and BUS 261.

  • MTH 265: Introduction to Statistics
  • 3

As a basic statistics course applicable to education, 业务, 以及自然科学, this course will include topics such as descriptive statistics, 正常的, 二项, F-, 和卡方分布, 假设检验. Optional topics might include additional non-parametric tests and ANOVA. A TI-83 graphing calculator or Microsoft Excel is required. 前提条件:C-或C以上 AMTH 101 or CMTH 101 or m 201 or m 252 or m 271 或同等.

当前的学生, please note: The requirements listed here may not reflect the most current courses for this minor and may not be the requirements for the catalog year you are following to complete your minor. 请参阅 学术目录 for official requirements you must meet to qualify.

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