DEDA Digital Economy & DA

  • 4.9 Rating
  • 4 Reviews
  • 237 Students Enrolled

DEDA Digital Economy & DA

The DEDA course presents tools and concepts for complex, unstructured data with a strong focus on applications and implementations. It presents the decision analytics in a way that is understandable for non-mathematicians and practitioners who are confronted with day to day number crunching statistical data analysis. All practical examples (on NLP, Cryptos, NFTs, Digital Assets, Blockchains) may be recalculated and modified: Quantlets are in The DEDA course endows the practitioner with ready to use practical tools for SDA Smart Data Analytics.

  • 4.9 Rating
  • 4 Reviews
  • 237 Students Enrolled
  • Free
Blockchain Cryptocurrency Python Digital Statistics IT UMAP ICA HMM

Course Content

13 courselets


  • Please note, that the following prerequisites are mandatory in order to participate in the seminar: iCloud Account & Keynote & Laptop (MacBooks preferred). Those prerequisites are mandatory due to the fact that each student has to work on a project (The project needs to be discussed in advance with the course supervisors in order to check for feasibility) in order to complete the course (g
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    roups of 2 are feasible for larger projects). The final and working PY code of the project will then be posted on and the student has to present their results in class. Projects should be shown in Keynote file and shared with the course supervisors in iCloud.
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General Overview



  • This is a hands-on course with several coding sessions
  • Intermediate programming knowledge very welcome (PY, R)
  • ECON, STAT, IT background very welcome
  • Students are expected to bring their laptop (MacOS) or have an available workstation to perform the hands-on lab exercises (iCloud)
  • Knowledge of version-control systems is necessary (We will use Github, so if you are not familiar with Git functionality, please look into some tutorials and try it out before the class. Some links on GitHub are given below)
  1. GitPro book
  2. Git & GitHub Crash Course for Beginners video
  3. Git & GitHub Crash Course for Beginners
  4. GitHub Desktop 2.0 (GitHub Desktop - it is some sort of an interface to use git functionality without using command line/terminal)
  5. Deep Dive into Git (intermediary level talk)
  • Study CRIX,
  • Study Quantlet, 


Course Description

Cryptocurrency refers to a type of digital asset that uses a distributed ledger (or blockchain technology) to enable decentralised but secure transactions. Although the technology is widely misunderstood, many central banks are considering launching their own national cryptocurrency. In contrast to most data in financial economics, detailed data on the history of every transaction in the cryptocurrency complex are freely available. Furthermore, empirically-oriented research is just beginning. Some examples  are  

- Lendoit runs a blockchain-based P2P-Lending platform
- Meet BiPS – This P2P Loans ‘Stablecoin-Plus’ Crypto Beats Facebook’s Libra Off The Mark
- PWC announced a blockchain auditing services
- European Central Bank: In search for stability in crypto-assets: are stablecoins the solution?

This presents an extraordinary research opportunity for academia. We provide some insights into the mechanics of cryptocurrencies, describing summary statistics and focusing on potential future research avenues in financial economics. 


Course Objectives

You will get insights into the area of one of the most demanded digital technologies. Practically relevant knowledge of methods and presentation skills will be trained. The use of GH and guarantees compliance with reproducibility and transparency. 

You will learn how to work in a competitive team and advance your skills in PY. Modern viz-tools will upgrade your current statistical data analytics platform.

You will experiment with Blockchain Applications and Cryptocurrencies. Invited guest researchers will evaluate your projects (data, code, presentation). Visit the BRC Blockchain Research Center,, partners in Berlin!

Possible Projects:

  • GAN’s for CRIX
  • Bitwala Projects, e.g. liquidity of cryptos
  • Sentiment: Market acceptance, ICOs, smart contract
  • Systematic review for BC tech
  • Factors driven crypto-markets
  • Statistics of issued and vanished CC Tokens and Exchanges
  • Alternative Banking (e.g. P2P Lending)
  • AI in Finance (e.g. Robo Advisory)
  • Rethinking traditional approaches (e.g. Smart Derivative Contracts)
  • Opinion target detection of crypto news (Sentiment analysis related topic)


Further Literature to inspire your project:


Feel free to find further inspiration in


Meet the instructors !

About the Instructor

Wolfgang Karl HÄRDLE attained his Dr. rer. nat. in Mathematics at Universität Heidelberg in 1982 and in 1988 his habilitation at Universität Bonn.  He is Ladislaus von Bortkiewicz Professor of Statistics at Humboldt-Universität zu Berlin and the director of the Sino German Graduate School (洪堡大学 + 厦门大学) IRTG1792 on “High dimensional non stationary time series analysis”.  He also serves as head of the joint BRC (with U Zürich).  He is guest professor at WISE, Xiamen U, SMU, Singapore, NYCU, Hsinchu TW, Charles U, Prague CZ.

His research focuses on data sciences, dimension reduction and quantitative finance.  He has published over 30 books and more than 300 papers in top statistical, econometrics and finance journals. He is highly ranked and cited on Google Scholar, REPEC and SSRN. He has professional experience in financial engineering, SMART (Specific, Measurable, Achievable, Relevant, Timely) data analytics, machine learning and cryptocurrency markets. He has created the platform, a financial risk meter, FRM, a cryptocurrency index, CRIX and organises regularly . He is 玉山学者 (Yushan Scholar), web page  


Student's feedback

Course Rating
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