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It is mainly aimed at students who apply for business analysis, data analysis, and other relevant fields' position. By completing three popular big data projects in the industry, students can understand the most cutting-edge big data transformation trends and become proficient in the techniques, methods, and ways of thinking required for big data analysis.
你将收获
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行业实战项目进一步丰富个人简历
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提供名企导师推荐信
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学会处理大数据,进行数据支持的商业决策分析
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会获得硅谷名企导师的内推机会与推荐信
你将学习的技能
数据分析编程
数据可视化
A/B Testing
SQL
课题介绍
Through this bootcamp, you will personally experience the tremendous changes brought about by this big data revolution. You will complete your big data projects through scientific analysis and visualization methods and become a data elite in the new era. You can improve your technical skills, ultimately increasing your chances of data positions interviewing and getting an offer.
课程大纲
The total duration of the bootcamp is four weeks &12 class hours;. In the first week, the mentor communicates with the students online, assigns tasks related to software learning, and guides the students to use SQL, Python, Tableau and other data analysis and visualization tools; in the second week, the mentor will conduct training based on the students' situation. Checking and filling gaps in knowledge points and improving skills; each week from the third to fourth weeks will provide students with a unique data analysis case and provide data. The utilization methods include: descriptive and predictive data analysis, A/B Testing, and logistic regression. , machine learning, etc., and finally submit three data analysis project research reports.
1
Intro to Big Data & Data Analytics
考察:Q&A
授课1小时; 学习1小时
2
Key Technical Skills Overview: Python/SQL/Tableau for Analytics
考察:Technical coding skills/knowledge
授课2小时; 学习4小时
3
Data Analytics and Visualization Project Project1 Retention Analysis for Cycling Accessories or Customer Analysis for Purchasing Behaviors and Trends
考察:Python for data analytics and visualization
授课3小时; 学习4小时
4
End-to-end A/B Testing Case Project2: E-Commerce Marketing Campaign Strategy: an A/B Test to Increase Consumer Monetization
考察:Statistical hypothesis testing; product sense
授课3小时; 学习2小时
5
Project3: ML modeling projects or Tableau story telling
考察:ML modeling, Tableau hands-on training
授课3小时; 学习5小时
课程导师
Jenny
Jenny
企业LOGO

经历

谷歌数据科学团队-数据分析师
普华永道中天会计师事务所北京分所审计师
斯坦福大学暑期交流

教育

加州大学圣地亚哥分校硕士

Iris
Iris
企业LOGO

经历

Airbnb Data Scientist, Analytics Engineer
Airbnb DE/DA面试官
五年在美DE和DS工作经验

教育

明尼苏达大学双城分校商业分析硕士

Melody
Melody
企业LOGO

经历

微软 Business Analyst Manager
曾任美国任天堂商业分析师
四年多美国工作/面试官经验
熟知科技/金融公司商业模式

教育

康奈尔大学信息科学硕士