The BAI/ZHAW Summer School - July 3-12, 2020
In the session’s second core module, under the supervision of Dr. Mario Gillrich and Maria Pelli, you will learn how to apply machine learning and blockchain technology to help develop your Fintech businesses.
You will explore how new entrants in banking and finance are leveraging new technologies and methodologies to help traditional banks, their corporate clients and consumers use data and algorithms to better manage their financial operations and processes.Will you be joining in on the fun?
The module the Applied Data Science in Fintech begins with a review of how recent regulatory frameworks, together with changing consumer demands, have opened financial markets to technological intermediaries. We will then turn our attention to a panorama of technologies and innovative data practices that provide the foundation for blockchain, open banking, crowdfunding, and portfolio optimization.
In the first practicum, participants will do cases and exercises in Data Engineering including the import of data over APIs, Data Cleansing and Processing (including Filtering and Sorting, Merging, Grouping, Aggregation, and Outlier Detection) and the export of data for the use in other systems. In the second practicum, the students will customer segmentation with machine learning, using neural networks, random forest and clustering algorithms. In the third practicum, we will use blockchain technology to build a minimal chain.