Using Cloud Technologies to Develop the Data Analysis Skills of Community College Students

利用云技术培养社区学院学生的数据分析技能

• 批准号: 2100027
• 负责人: Monica Trujillo
• 金额: $ 30万
• 依托单位: CUNY Queensborough Community College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2100027&HistoricalAwards=false
• 关键词: Using; Cloud; Technologies; Develop; Data

The greater New York City (NYC) area is one of the world’s leading financial and cultural centers. High-tech jobs are a key driver of NYC’s place in the US economy and the need for high tech workers is growing. From 2008 to 2018, jobs in this sector rose 45%, with jobs in the data analytics category representing 30% of that total growth. The current rate at which students graduate with skills in data analytics is not keeping pace with the demand for skilled data analytics technicians. This project aims to increase the number of students graduating with the skills necessary to enter the data analytics workforce. It will do so by improving the data analytics knowledge and skills of students at a diverse urban community college. The project intends to increase the participation of women and individuals from communities that are not yet equitably represented in the technical workforce. It is expected that the project will help prepare students for the predicted employment opportunities and contribute to better productivity, problem solving, and effectiveness in the workplace.Working in collaboration with the Business Industry Leadership Team at Queensborough Community College, the project team intends to enhance the ability of the College to recruit, educate, and graduate a diverse group of students to help meet regional employment needs. Participating students will be offered a summer boot camp in Data Science/Analysis, a year-long undergraduate research experience following the summer camp, and a series of workshops focused on skills for internship applications and job interviews. To meet role models and increase their sense of belonging in Data Science/Analysis, students will also participate in a seminar series focused on Data Science/Analysis careers that will feature professionals from diverse backgrounds and from both academia and industry. The project will also offer preparation for the AWS Certified Cloud Practitioner certification. It is expected that this initiative will lay the foundation to establish a degree program in Data Science/Analysis at Queensborough Community College. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the nation's economy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

大纽约市 (NYC) 地区是世界领先的金融和文化中心之一，高科技工作是纽约市在美国经济中的重要推动力，从 2008 年到 2018 年，对高科技工人的需求不断增长。该行业的就业岗位增长了 45%，其中数据分析类别的就业岗位占总增长的 30%。目前具备数据分析技能的学生毕业率未能跟上对熟练数据分析技术人员的需求。该项目旨在通过提高多元化城市社区学院学生的数据分析知识和技能来增加具备进入数据分析劳动力所需技能的学生数量。预计该项目将帮助学生为预期的就业机会做好准备，并有助于提高工作场所的生产力、问题解决能力和效率。皇后区社区学院商业行业领导团队、项目团队旨在增强学院招收、教育和毕业多元化学生群体的能力，以帮助满足地区就业需求。将为参与的学生提供数据科学/分析夏令营，以及为期一年的本科生研究体验。夏令营以及一系列专注于实习申请和工作面试技能的研讨会为了结识榜样并增强他们对数据科学/分析的归属感，学生还将参加专注于数据科学/分析职业的研讨会系列。将由来自不同背景的专业人士组成该项目还将为 AWS 认证云从业者认证做好准备，预计该计划将为昆斯伯勒社区学院建立数据科学/分析学位课程奠定基础。由先进技术教育计划颁发，该计划专注于推动国家经济发展的先进技术领域的技术人员教育。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查进行评估，被认为值得支持标准。

项目成果

Predicting Short-Term Variations in End-to-End Cloud Data Transfer Throughput Using Neural Networks

使用神经网络预测端到端云数据传输吞吐量的短期变化

• DOI: 10.1109/access.2023.3299311
• 发表时间: 2023
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Yildirim, Esma;Akon, Arafat
• 通讯作者: Akon, Arafat