商业智能分析高级文凭
Graduate Certificate in Business Intelligence Analytics

新斯科舍社区学院

CA

QS排名:

  • 学历文凭

    Graduate Certificate

  • 专业院系

    人工智能与机器人

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Undergraduate degree, advanced diploma or diploma in one of the following areas: information technology, business administration, geomatics, engineering technology, geospatial data analytics, geographic sciences, health information management, engineering (electrical, electronic, environmental, mechanical, industrial), natural sciences or related fields. Official transcripts – You must submit your official transcript(s) for courses required for admission. We request verification of your complete academic history, including any college or university you attended
Interim transcripts – If you're currently enrolled in courses required for admission, you must submit an interim transcript. Your official final grades must be submitted by the deadline specified in your admission letter. International English Language Testing Systems (IELTS Academic Test) – minimum score of 6.0 on each test (Listening, Reading, Writing, Speaking).
Test of English as a Foreign Language (TOEFL) – minimum test scores of 80 on the Internet-Based Test (TOEFL iBT), 60 on the Paper-Delivered Test, or 550 on the Paper-Based Test.
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雅思考试总分

6.0

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  • 雅思总分:6
  • 托福网考总分:80
  • 托福笔试总分:550
  • 其他语言考试:Pearson Test of English Academic (PTE) - minimum test score of 55.
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课程简介

随着越来越多地使用智能设备,传感器,智能系统和其他工具,数据量呈指数级增长,使其管理起来更具挑战性。该程序教您如何:管理大量数据。了解数据,以便及时,准确和有效地制定业务决策,以确保维持竞争优势。对具有商业智能和数据分析技能的毕业生有很高的要求,他们可以期待在许多领域中令人振奋和充实的职业。
With the increased use of smart devices, sensors, intelligent systems and other tools, the volume of data is increasing exponentially, making it more challenging to manage and use in meaningful ways.<br>This graduate certificate program teaches you to: Manage, research, gather and filter large volumes of data to make more precise, reliable business decisions., Work with platforms and applications to create and present visual representations of descriptive and predictive analytics., Work with business analysts or on your own to interpret, analyze and optimize data for timely, accurate and efficient business decisions., Use data analysis to seize business opportunities and motivate your team to improve performance.
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