Note: This is a 6 week online learning experience that you can purchase the first day of the course or the full 6 week course. Below you will find the course schedule and topic. You will receive the Zoom access link by email prior to the event.

Overview

This course will provide a comprehensive and solid understanding of Blockchain and Crypto economics. Topics including smart contracts, cryptocurrencies, and blockchain governance will be elaborated via case studies using Bitcoin, Etherum, and DFINITY as examples. We will also look at how blockchain is empowering decentralized finance applications.

This course equips participants to thrive within the global paradigm shift for data-driven results and research and across many industries globally. It will empower them through both artificial intelligence and business strategy initiatives. We will practice a data-driven methodology and academia/industry collaborative approach to answer research questions at the frontier of Fintech. We will learn from a joint perspective of Academia Researcher, Economist, Data Scientist and Data Engineer.

Learning Outcomes

Understand the basics of blockchain and crypto economics: the emergence; the problem solved; and the value created.
Explain in non-technical terms the related concepts including smart contracts, cryptocurrencies, decentralized finance etc.
Demonstrate and discuss case studies in Blockchain and Crypto Economics and Blockchain governance
Prosper collaboratively in a team with roles of Economist, Data Scientist, and Data Engineer; provide constructive criticism to peers’ work and contribute to team projects.
Conduct data-driven research and outlook technology transfer independently through 1) targeting an important and interesting research question of high intellectual merits and broad impacts 2) finding and vetting sources to acquire information 3) deploying strong analytical skills in a team of economist, data scientist, and data engineer 4) communicating research results 5) identifying limitations of current research and future research topics

Participants Description

The course is open to a diverse background of audience who is interested in the Frontier of Fintech and AI, include but not limited to:
Researcher in academia interested in Fintech and/or the application of their research in Data Science workflow
Economist, Data Scientist, Data Engineer in industry interested in Research questions at the Frontier of Fintech and AI; possesses ambition to develop a systematic way of conducting research and technology transfer independently.

Value Adds-on

Students will be invited to join our course Slack channel for interaction in the course and beyond.
Students will have a well-documented collaborative team project profile for personal publicities and further endeavors
Upon completing the course successfully, students will be invited to join our course LinkedIn Alumni Group for connections, future opportunities, and much more.

Highlights

Understand the basics of blockchain and crypto economics
Hands-on application in a team setting in the roles of an economist, data scientist, and data engineer
Synthesize your knowledge and skills by completing a capstone project for your portfolio

Course Structure

TIme: 1pm – 3 PM PDT on 7/23, 7/30, 8/6, 8/13, 8/20, 8/27

Prerequisites: Basics in statistics

Format: Online through Zoom

Number of Sessions: 6

Required Tools: Slack, Github, LinkedIn, Google Colab, Lucidchart, iSlides

Program/Workload: Live training: 2 hrs/week (Including hands-on student activities)

RMDS Deep Dive: Financial Technology, Cryptocurrency & AI

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