行业背景提升实战项目
围绕具体问题完成实践，建立能展示、能解释个人贡献的项目经历。
以下为此类服务的一般说明，本项目的具体要求与内容请结合下方介绍确认。
哪些需求可以考虑这类服务？
- 学过理论或工具，但缺少从问题到成果的完整项目实践。
- 转专业、转岗位，希望建立与目标方向相关的技能与作品。
- 简历中的项目较薄弱，或尚不能清楚解释自己的工作与取舍。
为什么参加实战项目？
- 把学到的知识用于具体问题，练习分析、实现与复盘。
- 根据项目大纲形成可展示的成果，并梳理自己实际完成的部分。
- 练习讲清需求、方案选择、遇到的困难与解决过程，为求职表达积累素材。
如何判断是否适合自己？
不是每个人都需要再参加一个项目。如果你已有充分相关实践，可能更需要面试辅导。培训项目不自动等同于正式工作或实习经历，应如实描述。
项目成果、基础要求、授课形式与时间投入以本项目大纲为准；不同项目不统一承诺代码、报告或上线产品，也不统一采用 1 对 1 授课。
本项目适用人群
It is mainly aimed at students who want to engage in data analysis/science in the financial industry. By completing popular big data projects in the industry, you will have an in-depth understanding of the most cutting-edge trends in the field of big data. Not only that, you will also be proficient in the skills, methods and thinking required for big data analysis. If you're eager to make your mark in the data-driven world of finance, this practical camp will be the ideal choice for you. Let us follow the wave of big data revolution and grasp the key to success!
你将收获
你将学习的技能
数据分析/工程/科学/可视化
SQL/Python/Rstudio/Tableau
课题介绍
Join our financial data analysis/science bootcamp and explore the infinite possibilities of data! Through this course, you will experience first-hand the huge changes that data analysis can bring to enterprises. We will teach you the most widely used data processing, analysis and visualization methods in the industry, enabling you to independently complete your own big data projects. What's more, through training, you will not only improve your technical skills, but also develop your soft skills. This will significantly enhance your application and job search background, making you stand out in the highly competitive field of financial data analysis.
We will fully understand the real-life applications of data analysis/science, improve interview skills, and ultimately achieve improved resume/interview pass rates and chances of getting your dream job. Let’s start your data science journey together!
课程大纲
The course design aims at mastering and applying key knowledge to help students achieve the transformation from students to quasi-professionals. In actual industry-like coaching, through the instructor's step-by-step guidance, students will personally experience the full work process of a data scientist:
In the financial market, the establishment and application of relational databases
Prediction of financial data Handling cleaning, visualization, exploratory analysis, feature engineering, descriptive analysis
Financial outlier analysis and final result presentation and interpretation, how to tell a good story
1
Introduction to data industry- Current job market in data field - Core skills in business/data analysis- Tools used in job searching/networking
考察：Q&A, Resume Walkthrough, Job posts research
授课2小时; 学习1小时
2
SQL and Relational Database Project: Project 1 The functionality of SQL and Relational Database in Finance/Banking/BigTech
考察：The basics of relational databases for storing and accessing data. The Structured Query Language (SQL), including joins, aggregations, subqueries, functions and Query optimization.
授课4小时; 学习4小时
3
Data Analytics and Visualization Project :Project 2 Customer Analysis for Purchase Transaction & Patient Behavior in Healthcare System
考察：Conduct exploratory data analysis (EDA): Use their coding skills to engineer new features from The core Data provided and eventually explain and defend The features.
授课3小时; 学习3小时
4
Anomaly Detection Project 3 Anomaly Detection in Credit Card/Healthcare Fraud
考察：Understand the schema of the Financial Markets Datasets provided- Apply one of the model strategy approaches to model for normal using one of the provided datasets and present the results.
授课3小时; 学习3小时
课程导师
常见问题
实战项目与学校作业有什么区别？
选择时重点比较问题场景、实践深度、导师反馈和成果要求，而不是只看名称。可结合本项目大纲，确认它能否补足现有课程作业尚未覆盖的能力。
已经有项目经历，还一定要报名吗？
不一定。先看现有项目与目标岗位的相关程度，以及你能否解释自己的贡献；若这些已经充分，面试准备或其他求职支持可能更适合。
实战项目可以写成企业实习吗？
培训项目与正式实习不是同一类经历。应按实际参与形式、工作内容和可核实的事实填写简历，不将培训项目包装成不存在的雇佣经历。
