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地位的关键驱动力，对高科技工人的需求正在增长。 从2008年到2018年，该行业的工作岗位增长了45%，其中数据分析类的工作岗位占总增长的30%。目前，学生毕业时掌握数据分析技能的速度跟不上对熟练数据分析技术人员的需求。该项目旨在增加具有进入数据分析劳动力所需技能的毕业生人数。 它将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实现这一目标。 该项目旨在增加技术劳动力中尚未得到公平代表的社区的妇女和个人的参与。 预计该项目将帮助学生为预测的就业机会做好准备，并有助于提高工作场所的生产力，解决问题和效率。该项目团队与皇后区社区学院的商业行业领导团队合作，旨在提高该学院招募，教育和毕业多元化学生的能力，以帮助满足区域就业需求。参与的学生将获得数据科学/分析的夏季靴子营地，夏令营后为期一年的本科研究经验，以及一系列专注于实习申请和工作面试技能的研讨会。为了满足榜样，并增加他们在数据科学/分析的归属感，学生还将参加一系列研讨会，重点是数据科学/分析职业，将具有来自不同背景的专业人士，从学术界和行业。该项目还将为AWS Certified Cloud Practitioner认证提供准备。预计这一举措将奠定基础，在皇后区社区学院建立数据科学/分析学位课程。该项目由先进技术教育计划资助，该计划侧重于为推动国家经济的先进技术领域培养技术人员。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标准进行评估，被认为值得支持。

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