数据分析证书
Certificate in Data Analytics
  • 学历文凭

    Graduate Certificate

  • 专业院系

    数据库管理

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

An undergraduate degree in computer science, engineering, math, physics and other natural sciences, statistics, information systems, or a related field is required for admission to the program. Students with other backgrounds will be considered based on their work experience and/or completion of pre-requisite courses as noted above.
Official Transcript(s) from a regionally accredited college or university verifying the applicant's bachelor's degree. Normally, a grade point average of approximately 3.0 or higher in upper division undergraduate work is expected, IELTS score - 6.5,TOEFL score - 88, (PTE Academic) score - 58
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雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:88
  • 托福笔试总分:160
  • 其他语言考试:Pearson Test of English (PTE) with a minimum score of 58.
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课程简介

数据分析证书是4门课程,价格低廉,适合需要升级IT技能以满足当前市场需求的专业人员。越来越多的组织正在收集大量的结构化和非结构化数据。真正需要能够分析和解释此类数据,检测模式,确定新的决策选择并做出预测的专业人员。数据分析是使用各种计算和统计工具对数据进行系统的分析和解释,以支持基于科学方法的决策。基于机器学习和统计技术,可视化工具和R语言的应用课程为学生提供了将其职业打入任何行业的数据分析领域的必要技能。该证书可在短短六个月内完成,并且基于一系列四个三单元研究生课程的序列,总共十二个学分。这需要根据11
The Certificate in Data Analytics is a 4-course, affordable option for professionals who need to upgrade their IT skills to meet current market demands. <br>More and more organizations are collecting large amounts of data, both structured and unstructured. There is a real need for professionals who can analyze and interpret such data, detect patterns, identify new decision alternatives and make predictions. Data analytics is the systematic analysis and interpretation of data using various computational and statistical tools in order to support decision-making based on the scientific method.<br><br>This program will prepare you to create, develop and implement data models as well as work with big data sets using a real-world data cluster managed in-house to derive insights and make recommendations.<br><br>An applied curriculum based on machine learning and statistical techniques, visualization tools and R language provides students the necessary skills to launch their careers into data analytics domain in any industry.
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