【Data Science Modeling and Analysis Bootcamp 1】项目简介适用人群项目大纲

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.

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

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

（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

（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

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