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数据分析证书
Certificate in Data Analytics
学历文凭
Graduate Certificate
专业院系
开学时间
20 May 2024
课程时长
4 Semester(s)
课程学费
USD 6,660
国际学生入学条件
At a minimum, all students entering the program need to have completed the following courses which are pre-requisites into the program:
Probability & Statistics
Java/Object Oriented Programming
These courses are also offered at Cal Lutheran (and are not part of the certificate program). Relevant work experience in the IT field will also be considered.
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.
International students (who have completed a degree outside of the US) need to submit English proficiency requirements such as Toefl of minimum 88 or IELTS or minimum 6.5.
The applicant has completed the bachelor's (or higher) degree at a regionally accredited college or university. Normally, a minimum grade point average of 3.0 (on a 4.0 scale) is required.
For the TOEFL, the minimum acceptable score is 88 for the internet-based test.
For the IELTS 6.5 is required.
Duolingo English Test with a minimum score of 120
Probability & Statistics
Java/Object Oriented Programming
These courses are also offered at Cal Lutheran (and are not part of the certificate program). Relevant work experience in the IT field will also be considered.
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.
International students (who have completed a degree outside of the US) need to submit English proficiency requirements such as Toefl of minimum 88 or IELTS or minimum 6.5.
The applicant has completed the bachelor's (or higher) degree at a regionally accredited college or university. Normally, a minimum grade point average of 3.0 (on a 4.0 scale) is required.
For the TOEFL, the minimum acceptable score is 88 for the internet-based test.
For the IELTS 6.5 is required.
Duolingo English Test with a minimum score of 120
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IDP—雅思考试联合主办方
雅思考试总分
6.5
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雅思考试指南
- 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.
CRICOS代码：
申请截止日期： 请与IDP顾问联系以获取详细信息。
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. 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. 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. 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.
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. 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. 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. 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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