适用人群
It is mainly aimed at Master students or PhD students with a strong mathematical background and students seeking jobs in data science and artificial intelligence in North America. This bootcamp looks forward to helping students who want to apply for data science jobs stand out and lock in North American technical job offers in advance.
你将收获
学生将自己从0到1完成多个业界常用并且受欢迎的机器学习模型
硅谷FLAG导师推荐信和职位内推
项目结束后获得导师的1:1反馈与点评
你将学习的技能
编程技巧
模型理解
实战项目
课题介绍
We provide a wealth of open source data, covering various aspects such as food reviews, medical care, social media, etc, allowing students to choose the direction and topic modeling they are interested in. The bootcamp content covers three parts: programming skills, model understanding, and industrial level projects.
课程大纲
The bootcamp will be oriented towards causal relationship models and recommendation systems, explaining the mathematical theory explanation of the model, parameter selection, and programming skills, and completely leading students to complete two complex data science projects from data collection and cleaning to modeling output. . Students can define their own questions of interest, select data sets under the guidance of instructors, and present their complete models and explanations at the end of the class.
1
Introduction to Big Data & Data Analysis
考察：Select an interesting topic and dataset to start a data project
授课1小时; 学习1小时
2
Python & SQL for Data Scientist/Analyst -data manipulation -data visualization -machine learning model package
考察：Coding tasks: from easy to hard Project: Use Python/R to clean data and visualize data
授课2小时; 学习4小时
3
（3选2）Design an experiment for AB testing to validate a business related decision
考察：Feature engineering, dimension reduction; Effective Size Test, Measure Variability, Sanity Check
授课4小时; 学习8小时
4
（3选2）Design a causation analysis experiment and implement several causal models from end to end
考察：Build a machine learning model from scratch and train - validate - test it from end to end
授课4小时; 学习8小时
5
（3选2）Recommendation system -Design a recommendation system for product cross-sell recommendation -Implement several machine learning models to realize the recommendation system
考察：Project: Build a machine learning model from scratch and train - validate - test it from end to end
授课4小时; 学习10小时
6
Evaluate the model, interpret the results and tell a good story
考察：Finish the project and get reviewed and feedback from mentor
授课1小时; 学习2小时
课程导师
Nina
经历
Data Scientist, Machine Learning曾拿 Uber/J.P Morgan Chase DS fulltime offers3年在美工作经验Tech & Behavior 面试官经历 复旦广告 + 罗切斯特商业分析
教育
纯文科背景转Data，擅长针对转专业candidates提供申请文书项目针对性辅导丰富的DS工作经历，擅长A/B testing，Machine Learning，统计分析同时熟悉技术和Behavior面试提供全方位辅导擅长简历修改，tech/behavior真题模拟面试
Rain
经历
哥伦比亚大学STEM硕士，GPA 3.96/4.0美国科技公司在职Data Scientist30+公司面试经验及5+offer多段DS/AI Education方向实习经历DS/AI/ML相关 20+实战项目经历IEEE论文发表
教育
六年工科背景，编程及项目实战经验丰富曾在多家教育机构从事tech instructor，擅长与学生交流沟通熟悉申请美国留学以及留美找工作相关流程面试经验丰富，可提供有效的DS方向笔试面试辅导并传授个人技巧精通DS完整知识体系框架，并有完善的笔记和代码资源中美两地职业资源丰富
Yuan
经历
卡内基梅隆大学硕士学位满绩毕业IBM认知工程师实习生并拿到全职工作机会美国银行计量分析实习offer四次实习经历和两次全职经历加州大学圣地亚哥分校交换生新加坡全额奖学金和国立大学全额奖学金得主
教育
美国数据分析硕士项目推荐及申请数据分析师实习或全职面试技巧和知识点总结实习经历横跨多个领域，可提供商业数据分析就业方向的指导解惑早期出国留学和新加坡Vs美国留学经验分享新加坡和美国求职经验分享
