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*This course will be run primarily in English, but will have assessments, video transcripts, and limited course content (documents, instructions) in Simplified Chinese. This Digital Programs course will survey state-of-the-art topics in Big Data, looking at data collection (smartphones, sensors, the Web), data storage and processing (scalable relational databases, Hadoop, Spark, etc...), extracting structured data from unstructured data, systems issues (exploiting multicore, security), analytics (machine learning, data compression, efficient algorithms), visualization, and a range of applications. Each module will introduce broad concepts as well as provide the most recent developments in research. Tackling the Challenges of Big Data is designed to be valuable to both individuals and companies because it provides a platform for discussion from numerous technical perspectives. The concepts delivered through this course can spark idea generation among team members, and the knowledge gained can be applied to their company’s approach to Big Data problems and shape the way business operate today. The application of the course is broad and can apply to both early career professionals as well as senior technical managers. Participants will benefit the most from the concepts taught in this course if they have at least three years of work experience. Participants may include:
The course is taught by a team of world-renowned experts in each of these areas from MIT and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). CSAIL is the largest research laboratory at MIT and one of the world’s most important centers of information technology research. CSAIL and its members have played a key role in the computer revolution. The lab’s researchers have been key movers in developments like time-sharing, massively parallel computers, public key encryption, the mass commercialization of robots, and much of the technology underlying the ARPANet, Internet, and the World Wide Web. CSAIL members (former and current) have launched more than 100 companies, including RSA Data Security, Akamai, iRobot, Meraki, ITA Software, and Vertica. The Lab is home to the World Wide Web Consortium (W3C). With backgrounds in data, programming, finance, multicore technology, database systems, robotics, transportation, hardware, and operating systems, each MIT Tackling the Challenges of Big Data professor brings their own unique experience and expertise to the course. FAQ How do I register a group of participants?
How should I pay? Individual registrants must complete registrations and pay online with a valid credit card at the time of registration. MIT Professional Education accepts globally recognized major credit or debit cards that have a Visa, MasterCard, Discover, American Express or Diner's Club. Invoices will not be generated for individuals, or for groups of less than 10 people. Payment must be received in full; payment plans are not available. How long is the course? Participants are required to provide some personal information via a short mandatory course entrance survey. You will be able to access the survey on the course start date. Please be advised that a failure to provide said information will mean that participants will be unable to access course material. Please note that the edX platform uses Coordinated Universal Time (UTC). To convert times to your local time zone, please use the following tool:http://www.timeanddate.com/worldclock/converter.html How do I know if this course is right for me? After I complete this course, will I be an MIT alum? To submit your request for a refund prior to the start of a course, please email support@edx.org. Please include your full name and order number in your email request.
关于这门课程*本课程以英文授课为主，但有些评估测试，视频字幕，和部分的课程内容（文件，说明）会有简体中文翻译。 这门数字化课程将概述大数据领域最先进的课题，着眼于数据收集(智能手机，传感器，网络), 数据存储和处理 (可扩展的关系型数据库，Hadoop，Spark等), 从非结构化数据中提取结构化数据、系统问题(多核开发，安全性)，数据分析（机器学习，数据压缩，高效算法), 可视化，以及一系列应用。 每个课程模块将介绍初步概念，并提供最新的研究进展。 应对大数据挑战这门课是为个人以及公司设计的，因为它提供了一个从不同技术角度进行讨论的平台。 本课程提供的概念可以激发团队成员的创意，所获得的知识也可以应用于解决公司的大数据问题，并且引导当今企业的运营方式。 该课程应用广泛，既适合事业刚刚起步的专业人员，也适合高级技术管理人员。 如果学员有三年以上的工作经验，他们将从这门课程所讲授的概念中受益更多。 学员可能包括：
本课程的教学团队由该领域的世界级专家组成，他们来自麻省理工学院（MIT）以及麻省理工学院的计算机科学和人工智能实验室 (CSAIL). CSAIL是MIT最大的研究实验室，也是世界上最重要的信息技术研究中心之一。 CSAIL及其成员在计算机革命中起到了关键作用。 该实验室的研究人员一直是诸如分时、大规模平行计算机、公钥加密、机器人的大规模商业化，以及很多建立在阿帕网、互联网和万维网基础上的技术的关键推动者。 CSAIL成员（前任和现任）已经成立了超过100家公司，其中包括 RSA Data Security、Akamai、iRobot、Meraki、ITA Software 和 Vertica。 该实验室是万维网联盟（W3C）的发源地。 这些MIT应对大数据挑战的教授分别拥有数据、编程、金融、多核技术、数据库系统、机器人技术、运输系统、硬件和操作系统的背景。他们每一个人都将为本课程带来自己独到的经验和专业知识。 常见问题 如何注册多位学员？
如何支付？ 个人和少于10人的团体不能用账单支付。付款必须是全额付款；无分期付款计划。 课程为期多久？ 在线课程资料可用多久？ 何时可以进入课程网站？ 学员必须填写一份简短的入学调查以提供一些个人信息。您将能在课程开始之日进入该调查网页。请注意，未能提供上述信息的学员将不能获得课程资料。 一周有多长时间的课程或家庭作业？ 请注意，edX平台使用世界标准时间 (UTC). 请使用以下的时区换算表将世界标准时间转换成当地时间： http://www.timeanddate.com/worldclock/converter.html 我怎么知道这个课程是否适合我？ 我以前从来没有在edX平台修过课。 我能做些什么准备呢？ 我会收到MIT专业提升教育的证书吗？ 我会获得MIT的学分吗？ 当我完成这门课程后，我会成为MIT的校友吗？ 我可以把我的注册推迟到另一学期或转到另一课程吗？ Categories:
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2015-10-30 |
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AlternativesIf you know any alternatives, please let us know. PrerequisitesIf you can suggest any prerequisite, please let us know. Certification Exams-- there are no exams to get certification after this course --If your company does certification for those who completed this course then register your company as certification vendor and add your exams to the Exams Directory. Similar coursesCourses related to the course subject
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