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在线BSDS学位

数据科学学士学位

在线BSDS学位

数据科学学士学位

学士学位

4

大概程序长度

120

总学分

$398

每信用证成本

在线

格式

亚虎官网吧

报名截止日期:2023年4月5日

获得分析所需的基本技能和知识, 操作, 并使用统计软件处理数据集. 学习ETL(提取、转换、加载)过程,以集成BI使用的数据集. 专注于数据挖掘和建模, 数据编程语言, 统计分析, 还有数据可视化和讲故事. Discover techniques to transform 结构化和非结构化数据 sets into meaningful information that can be used to identify data patterns and trends and drive strategic decision making.

  • 数据分析

  • 数据管理

  • 数据可视化

  • 商业智能

下载课程和职业详细信息

一个围绕雇主需要的技能而建立的学位

亚虎官网知道雇主需要什么技能,因为亚虎官网做了功课.

We worked with labor market researchers to align in-demand 技能 with our program to ensure you have the opportunity to learn and demonstrate them in your coursework.

技能一致的学习图标

寻找技能图标,看看你正在学习的课程中需要哪些技能.

Skills-aligned程序

课程

课程

1

每次课程

5

每课程周数

10

每年课程数

亚虎官网的基础学习. 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Emphasis is given to developing an effective 写作 process that takes into account audience and rhetorical purpose.","title":"English Composition II"},{"name":"SOC/110","description":"Teamwork, Collaboration, and Conflict Resolution","credits":"3","mrktDesc":"本课程提供团队建设、协作和冲突解决的实用方法. 学生必须在学术和专业环境中理解和应用这些概念. 学生开发结构、流程和策略,以创建和维护有效的团队. 性别,文化和个人因素在团队动态也进行了探讨.","title":"Teamwork, Collaboration, and Conflict Resolution"},{"name":"SCI/220T","description":"Human Nutrition","credits":"3","mrktDesc":"This course introduces the basic concepts of human nutrition to highlight ways that students can integrate 健康y nutrition into their lifestyles. 消化和吸收的原则, 营养素的功能, 生命周期营养实践, 疾病预防, 饮食的修改, 体重管理也包括在内. 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Students approach real-world scenarios using numerous reasoning 技能 and mathematical literacy to draw conclusions.","title":"Quantitative Reasoning II"}],"defaultCoreCourseList":[{"name":"BSA/250","description":"Foundations of 数据分析","credits":"3","mrktDesc":"This course introduces practices in data analytics foundational to the industry and the field of data analytics. 涵盖了分析理论, 分析生命周期的各个阶段, 数据分析和挖掘, 数据建模的相关统计数据, 数据可视化, 以及用于数据分析的工具.","title":"Foundations of 数据分析"},{"name":"PRG/211","description":"Algorithms and Logic for Computer 编程","credits":"3","mrktDesc":"本课程为学生提供编程开发实践的基本理解. 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Students will be introduced at a high level to the 编程 languages as they relate to database design, 发展, 和管理.","title":"Data 编程 语言"},{"name":"BIS/340","description":"Advanced Spreadsheet Applications","credits":"3","mrktDesc":"本课程概述了在数据分析中使用的高级电子表格功能. 主题包括筛选器, 排序, 查找, 公式, 功能, 宏, 数据透视表, 图表和图表, 指示板, 形式, 报告, 查询, 统计分析, 以及数据验证.","title":"Advanced Spreadsheet Applications"},{"name":"DAT/305","description":"Data Structures for Problem Solving","credits":"3","mrktDesc":"本课程提供了一个关于数据结构的基础研讨会, 组织中商业智能(BI)的功能组件是什么. 在基本编程和数据库结构的基础上, this course builds competencies for the student to recognize the structure of data contained in deployed enterprise information systems.","title":"Data Structures for Problem Solving"},{"name":"PRG/310","description":"编程 in Python","credits":"3","mrktDesc":"本课程介绍Python编程语言. 学生将复习变量的功能和使用, 数据类型, 列表, 元组, 功能, 类, 文件, 异常, 搜索/排序算法, 内存管理, 代码测试. 其他主题可能包括集成开发环境(ide), 数据可视化, 全球数据集, 和Web应用程序编程接口(api).","title":"编程 in Python"},{"name":"DBM/300","description":"Database Fundamentals","credits":"3","mrktDesc":"本课程涵盖基本数据库概念,包括SQL, 非关系型数据库, 分布式数据库和数据库体系结构. 为学生提供了如何管理的概述, 显示, 排序, 集团, 检索, and organize data for the application or tool associated with the software 发展 taking place within an organization","title":"Database Fundamentals"},{"name":"PRG/315","description":"R for Data Science","credits":"3","mrktDesc":"本课程提供R的概述, 数据科学中常用的编程语言是哪一种, 统计分析, 以及数据可视化. 主题包括语法, 变量, 运营商, 功能, 数据结构, 统计数据集, 以及图形演示.","title":"R for Data Science"},{"name":"QNT/375T","description":"Business 数据分析","credits":"3","mrktDesc":"本课程提供应用商业研究的概述, 统计工具, 以及用于支持战略决策的数据分析. 学生将研究用于构建商业问题的方法, 进行研究, 收集和评估数据的有效性和可靠性, 确定性能的模式和趋势, 并有效地提出结论.","title":"Business 数据分析"},{"name":"DAT/325","description":"SQL","credits":"3","mrktDesc":"结构化查询语言(SQL)是一种用于存储数据的领域特定语言, 查询, 并在数据库中操作数据. This course provides an overview of SQL and relational database applications with a focus on SQL syntax, 数据类型, 关键字, 功能, 结构化和非结构化数据, 数据建模.","title":"SQL"},{"name":"DBM/370","description":"Database Administration","credits":"3","mrktDesc":"本课程提供数据库管理的概述, 包括数据库实现, 配置, 身份验证, 监控, 备份, 和安全. 学生将学习以Business需求为重点的数据库体系结构, 数据完整性, 以及对私人数据的道德处理.","title":"Database Administration"},{"name":"DSC/350","description":"Exploratory Data Analysis","credits":"3","mrktDesc":"本课程提供探索性数据分析(EDA)的概述, 包括清洁, 准备, 探索, 数据的可视化. 学生将复习机器学习算法, 神经网络, 以及用于分析数据集和构建智能应用程序的人工智能(AI)概念.","title":"Exploratory Data Analysis"},{"name":"IM/310","description":"数据分析 and Modeling","credits":"3","mrktDesc":"This course will introduce students to data analytics and modeling through contemporary Business tools. 学生将研究数据是如何架构和组织的. 完成本课程后, 学生将能够理解用于存储数据的不同数据模型, 驱动数据结构的几种模式, 并提供与数据设计和体系结构相关的其他数据库概念.","title":"数据分析 and Modeling"},{"name":"DAT/350","description":"Analyzing and Mining Data","credits":"3","mrktDesc":"本课程涵盖结构化和非结构化数据的数据挖掘技术. Learn 编程 techniques and algorithms to transform large quantities of data into usable 商业智能 (BI).","title":"Analyzing and Mining Data"},{"name":"DSC/330","description":"Data 沟通 and Visualization for Business","credits":"3","mrktDesc":"本课程向学生介绍展示数据所需的工具和技术, 无论是简单的还是复杂的, 获得支持并建议Business决策. 学生将使用图形工具,如图表, 动画, 以及表达技术,以传达数据背后的信息,并改善决策制定. 主题包括需求收集, 数据集的图形表示, 可视化技术和工具, 以及数据验证.","title":"Data 沟通 and Visualization for Business"},{"name":"DSC/460","description":"Big Data","credits":"3","mrktDesc":"本课程回顾了大数据在当前Business框架内的起源和应用. 主题包括数据验证, 处理, 预测分析被及时地用于做出明智的决定.","title":"Big Data"},{"name":"DSC/435","description":"Machine Learning","credits":"3","mrktDesc":"本课程提供机器学习的概述, 包括算法的使用, 神经网络, 和监督, 无人管理的, 强化学习使高级计算机任务自动化.","title":"Machine Learning"},{"name":"DSC/445","description":"Predictive Modeling","credits":"3","mrktDesc":"本课程提供预测建模技术的概述, 重点是统计分析, 数据挖掘, 机器学习工具用于发现模式和趋势, 识别潜在风险, 并在不同的数据集中预测可能的结果.","title":"Predictive Modeling"},{"name":"DSC/495","description":"Data Science Capstone","credits":"3","mrktDesc":"This capstone course combines the 技能 and applies the knowledge 从 various courses in the Bachelors of Science in Data Science program. 处理大型数据集的学生团队结合了统计学的概念, 编程, 数据挖掘, 数据分析, 并对数据可视化进行设计, 实现, and present a data science project representing a real-world application to decision-making executives.","title":"Data Science Capstone"}],"defaultElectiveCourseList":[{"name":"DAT/380","description":"Advanced 数据库架构师ure","credits":"3","mrktDesc":"本课程涵盖分布式数据库管理系统(DDBMS)架构, 数据结构, 模式和标准, 除了集中式和客户端服务器系统, 服务器系统架构, 并行系统, 分布式系统.","title":"Advanced 数据库架构师ure"},{"name":"DAT/390","description":"Database Integration with Other Systems","credits":"3","mrktDesc":"本课程介绍数据集成的主要标准, 移动或复制和联合. 学生将研究透明度和比较性, 清洁, 存档, 以及跨系统的信息保存.","title":"Database Integration with Other Systems"},{"name":"PRG/420","description":"Java 编程 I","credits":"3","mrktDesc":"本课程是关于Java编程的研究. 它涵盖了有关Java编程的主题, 变量, 表达式, 使用分支和循环, 将数据存储在数组中并使用方法.","title":"Java™ 编程 I"},{"name":"BDAT/376","description":"Preparing Data for Analysis","credits":"3","mrktDesc":"本课程涵盖准备、清理、组织和增加数据进行分析. 学生们学习如何通过清理数据来准备数据, 创建必要的变量, 格式化所有变量, 抄录数据, 调整需要加权的数据, 尺度转换, 数据分析策略的选择.","title":"Preparing Data for Analysis"},{"name":"CSS/440","description":"Artificial Intelligence and Big Data Trends","credits":"3","mrktDesc":"本课程探讨与数字化数据流相关的最新技术进步, 它们最近为人工智能开辟了新领域. 学生将深入了解大数据在人工智能中的一些应用领域, 包括机器人技术, 家庭自动化, 健康, 安全, 图像识别和自然语言处理.","title":"Artificial Intelligence and Big Data Trends"},{"name":"PRG/421","description":"Java 编程 II","credits":"3","mrktDesc":"本课程是Java™编程的高级学习. 它涵盖了有关高级Java™类设计的主题, 面向对象的设计原则, 线程, 并发性, 本地化, 访问数据库应用程序. 这些主题与Oracle®Certified Professional Java™SE考试密切相关.","title":"Java 编程 II"},{"name":"ARTS/100","description":"Introduction to the Visual and Performing Arts","credits":"3","mrktDesc":"This course examines traditions and 发展s in the visual and performing arts genres including music, 跳舞, 剧院, 电影, 视觉艺术, 和建筑. 学生将被介绍到每个流派的元素, 以及它在西欧传统中的历史发展概况.","title":"Introduction to the Visual and Performing Arts"},{"name":"ENG/135","description":"Essentials of Contemporary 沟通","credits":"3","mrktDesc":"This course covers the 技能 necessary for effective 写 and oral communication in the work environment and in modern society. 本课程回顾基本的沟通理论,并讨论人际关系的基础, 写, 以及口头沟通能力. This course emphasizes applying these theories and 技能 to 集团 processes and professional situations.","title":"Essentials of Contemporary 沟通"},{"name":"SCI/163T","description":"Elements of Health and Wellness","credits":"3","mrktDesc":"本课程提供全面健康的关键组成部分的概述. 基于一个预防模型, the course will allow learners to explore choices that promote wellness with goals of living longer and better.","title":"Elements of Health and Wellness"}],"showDatesCopy":"false","hideCourseDetailsLinks":"false","courseDetailsColor":null,"skillMappedProgram":"true","skillLink":"/content/edu/us/en/online-degrees/skills-aligned-learning.html","enableDateLookahead":"false","defaultGenEdCategoryDescription":"这些课程为亚虎官网所有的学位课程奠定了基础. 因为沟通, math and 写作 技能 aren’t just universally applicable in data science — they’re useful in daily life.","defaultCoreCategoryDescription":"The 数据科学学士学位 features 19 core courses in topics ranging 从 foundations of data analytics to predictive modeling.","defaultElectiveCategoryDescription":"选修课程可以让你了解你感兴趣的话题 and have a degree that’s unique to you and your education goals.","overrideGeneralHeadingFlag":"true","generalHeading":"12门通识教育课程","overrideCoreHeadingFlag":"true","coreHeading":"19核心课程","overrideElectiveHeadingFlag":"true","electiveHeading":"必修课程选修课9门","overrideGeneralDescriptionFlag":"true","generalDescription":"这些课程为亚虎官网所有的学位课程奠定了基础. 因为沟通, math and 写作 技能 aren’t just universally applicable in data science — they’re useful in daily life.","overrideCoreDescriptionFlag":"true","coreDescription":"The 数据科学学士学位 features 19 core courses in topics ranging 从 foundations of data analytics to predictive modeling.","overrideElectiveDescriptionFlag":"true","electiveDescription":"选修课程可以让你了解你感兴趣的话题 and have a degree that’s unique to you and your education goals."}'>

计划的细节

需求

在这里您将获得大部分特定于程序的知识. 你需要120个学分来完成数据科学学士学位. Your course schedule may vary based on transferable credits or credits earned through Prior Learning Assessment.

19核心课程

The 数据科学学士学位 features 19 core courses in topics ranging 从 foundations of data analytics to predictive modeling.

12门通识教育课程

这些课程为亚虎官网所有的学位课程奠定了基础. 因为沟通, math and 写作 技能 aren’t just universally applicable in data science — they’re useful in daily life.

必修课程选修课9门

选修课程可以让你了解你感兴趣的话题 and have a degree that’s unique to you and your education goals.

核心课程:

  • BSA/250:数据分析基础
  • PRG/211:计算机程序设计的算法和逻辑
  • DAT/210:数据编程语言
  • BIS/340:高级电子表格应用
  • DAT/305:解决问题的数据结构
  • PRG/310: Python编程
  • DBM/300:数据库基础
  • PRG/315: R数据科学
  • QNT/375T:商业数据分析
  • DAT / 325: SQL
  • DBM/370:数据库管理
  • DSC/350:探索性数据分析
  • IM/310:数据分析和建模
  • DAT/350:分析和挖掘数据
  • DSC/330:商业数据通信和可视化
  • DSC/460:大数据
  • DSC/435:机器学习
  • DSC/445:预测模型
  • DSC/495:数据科学顶点

通识教育课程:

  • GEN/201:大学成功的基础
  • PSY/110:学习心理学
  • ENG/110:英语作文
  • HUM/115:日常生活中的批判性思维
  • FP/100T:每日经济与金融
  • ENG/210:英语作文2
  • SOC/110:团队,协作和冲突解决
  • SCI/220T:人类营养
  • HUM/186:媒体对美国文化的影响
  • SCI/256:人、科学与环境
  • MTH/215T:定量推理I
  • MTH/216T:定量推理2

选修课程:

  • DAT/380:高级数据库体系结构
  • DAT/390:数据库与其他系统的集成
  • PRG/420: Java™编程
  • BDAT/376:为分析准备数据
  • CSS/440:人工智能和大数据趋势
  • PRG/421: Java编程II
  • 艺术/100:视觉与表演艺术概论
  • ENG/135:当代传播要旨
  • SCI/163T:健康要素

时间表

你的学术顾问将帮助你安排数据科学学士学位的课程. 你也可以在第一年的任何时候定制你的课程, 通过选择一个证书,以添加在信用要求.

你会学到什么

当你获得在线数据科学学士学位时, 你将掌握一套具体的技能,可以应用到工作中.

你将学习如何:

  • 使用面向数据的编程语言和商业软件进行统计分析
  • 分析结构化和非结构化数据集以获得有意义的信息
  • 使用数据挖掘和建模评估Business决策
  • 通过数据可视化和讲故事来传达商业战略

职业生涯 & 结果

职业生涯 & 结果

拥有数据科学学士学位你能做什么?

BSDS可以为您准备:

  • 信息系统经理
  • 数据分析师
  • 商业智能分析师
  • 数据库架构师
  • 研究科学家

16%

根据 劳工统计局在美国,计算机和信息系统管理人员的工作岗位预计将增长 比平均速度快得多 在2021年到2031年之间.

劳工统计局的预测并不针对亚虎官网的学生或毕业生.

学费

学费

支付学费

学费担保

负担得起的固定学费

$398

每笔贷款成本

固定的、负担得起的学费让你安心. 从你注册的那一刻起,直到你从你的项目毕业的那一天,你将享受一个统一的费率. 这就是你的学费保证.

为你的学位节省时间和金钱

轻松转换学分

通过从另一所认可的机构转移先前合格的学分,可以更快地毕业.

为你已经知道的事情获得荣誉

获得学位无需从头开始. 之前的相关工作和生活经历是否被评估为潜在的学分.

招生代表随时准备提供帮助

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Our enrollment representatives provide personal support while you make an informed choice about going back to school. 通过电话844-937-8679与亚虎官网联系或每周7天与亚虎官网聊天.

认证 & 教师

认证 & 教师

相信你的教育质量

机构认证

亚虎官网由高等教育委员会(HLC)认证, hlcommission.org. 自1978年以来,亚虎官网一直得到高等教育委员会的认可.

真实的能力

28

平均年行业经验

3

首席技术官
 

85%

的学生会推荐他们的老师

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*虽然广泛适用,但并非所有项目都适用于所有州的居民. 请与大学招生代表联系.

劳工统计局 (BLS) projections are not specific to University of Phoenix students or graduates.