DEDA Basic Stat and VizTech (unit_5)
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DEDA Basic Stat and VizTech (unit_5)
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 www.quantlet.de. The DEDA course endows the practitioner with ready to use practical tools for SDA Smart Data Analytics.
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- 0 Rating
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- 70 Students Enrolled
Requirements
- 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 roups of 2 are feasible for larger projects). The final and working PY code of the project will then be posted on quantlet.de 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.
General Overview
Description
IMPORTANT:
- 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)
- GitPro book https://git-scm.com/book/en/v2
- Git & GitHub Crash Course for Beginners video https://youtu.be/SWYqp7iY_Tc
- Git & GitHub Crash Course for Beginners https://youtu.be/RGOj5yH7evk
- GitHub Desktop 2.0 https://youtu.be/S7f8qJscmRE (GitHub Desktop - it is some sort of an interface to use git functionality without using command line/terminal)
- Deep Dive into Git (intermediary level talk) https://youtu.be/dBSHLb1B8sw
- Study CRIX, thecrix.de
- Study Quantlet, quantlet.de.
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 quantlet.de 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, blockchain-research-center.de, 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:
- Blockchain, FinTechs and their relevance for international financial institutions
- Blockchain-Based Token Sales, Initial Coin Offerings, the Democratization of Public Capital Markets
- Bitcoin-ETFs
- Dynamic Network Perspective of Cryptocurrencies
- Dynamic Topic Modelling for Cryptocurrency Community Forums
- How to create a Blockchain
- ICO Returns
- Cryptofinance
- Disruptive Blockchain Technology in Finance
- Illegal Activities using Cryptos
- Mining Pool Concentration
- Megatrend Digitalisation - Is Bitcoin outshining Gold?
Feel free to find further inspiration in quantlet.com
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Meet the instructors !
Andrei Theodor is a Ph.D. researcher at the Bucharest University of Economic Studies, where his doctoral research focuses on the application of large language models in forecasting digital asset returns. He holds an MSc in Applied Statistics & Data Science from the same institution and professionally he is a market analyst. He's also a researcher at the Institute of Digital Assets, a global research and education institution dedicated to the study of digital assets and their integration into the economy and society. His professional interests lie at the intersection of digital and traditional finance, with a specific focus on applying quantitative methods to problems of forecasting and risk management.