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      Training Program: Data Science Meets Fintech (from 16th February until 9th March) in Singapore

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      February 16, 2019

      Saturday   9:00 AM

      1 Fusionopolis Way
      Singapore, Singapore 138632

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      Training Program: Data Science Meets Fintech (from 16th February until 9th March)

      Start Your Journey toward Data Science The Data Science Meets Fintech in 4 Weeks course is a 4-week Intensive training program for those interested in Data Science and Fintech. Unlike other programs, in these 4 weeks, you will be fully exposed to Data Science and Fintech both online, offline and with your supportive community, and build up your project portfolio to achieve your career dreams.  All these are brought to you by YiDu AI. Established in 2017, YiDu AI is one of the largest machine learning communities in Singapore. We have brought to you 20+ machine learning seminars and 10 industrial talks. An NUS Enterprise Incubatee, we will keep bringing you the best content, supported by the broader university network.  1. Co-organizer: 2. Support Partners:                                                  3. Highlights: 1.    4-week course on data science and fintech from excellent instructors and TAs. 2.    Fully Hands-on. 4 in-class projects, 4 after-class assignments. 3.    1 course project competition with real data. 4.    Good students will get hired by Wecash directly as full-time data scientist. 5.  Networking with YiDu AI community (Thousands of top AI researchers and data scientists).    4. Curriculum: 4 Weekend courses: 1.5 hours teaching + 1.5 hours hands-on in-class project  Hands-on Exercises: We will prepare in-class project every week. Students will have opportunities to work with assistance from TAs. Course Project: Build credit score using the lendingclub data Week 1:  Introduction to Data Science in Fintech  Key points: Overview of data driven applications in FinTech Microfinance business lifecycle Survey of scorecard model Performance evaluation of scorecard Backtest of scorecard Online monitoring of scorecard Hands-on:  Lendingclub data exploration Demo of scorecard implementation Week 2: Scorecard Model For Microfinance  Key Points: Overview of machine learning models for scorecard Decision Tree Random forest Boosting tree method Imbalance data in microfinance Rejection inference Overfitting, Activation functions, regularization Hands-on:  Introduction to xgboost package Implement scorecard model using xgboost Week 3: Feature Engineering and Parameter Tuning Key Points: Possible data source for scorecard Data cleaning and transformation Feature selection Bayesian optimization Hands-on: Code demo of feature selection  Review of xgboost parameter  Introduction to skopt package  Code demo of Bayesian optimization Week 4: Location, Text and Graph Data Analysis Key Points: Overview of big data in Fintech Location data for microfinance Gaussian process for spatial data analysis Text and graph data for microfinance Word2Vec Text classification Label propagation in social graph Graph embedding method Hands-on:  Code demo of Gaussian process Demo of extracting financial sensitive text Demo of graph embedding With the content learnt in class, you are supposed to implement: Data cleaning Feature engineering Feature selection Model design Parameter tuning Risk calibration Model evaluation Monitoring   5. Instructor:                                                            Dr. Ouyang Ruofei is a data scientist from Wecash APAC. He works on credit risk modeling in consumer lending business which serves millions of customers from Indonesia, India, and Vietnam. Prior to this position, he is a research fellow in Risk Management Instituite of NUS focusing on financial derivative pricing model using machine learning.   6. YiDu AI Data Science Community Yidu AI was established to build a community for people who are interested in data science and artificial intelligence. Founded in 2017, we have already formed a community with more than 700+ data scientists, AI researchers, PE/VC investors. There are thousands followers in our social medias. Yidu AI organizes free machine learning seminars, data science talks, workshops, with speaker from universities (NUS, NTU, SMU, SUTD, etc.), research institutes (A*STAR, I2R, IHPC, etc.), industry companies (Shopee, Microsoft, GoJek, Google, etc.) and so on. Events are updated on our social media channels, and also on the website.   7. Target Participants Anyone who is interested in Data Science and Fintech.   8. Application Please fill out the your basic information in the application form and make the payment. We will come back to you soon. Timeline: The course will happen in each Saturday starting from 16th February until 9th March. Location: Fusionopolis Program fees: S$ 499. We accept at most 40 students for this program. Please register early if you want to attend. Early Bird Price (first 10 registrants): S$ 459.    

      Categories: Science

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