Györkő Dorisz Fri, 2018/04/20 - 09:28
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The Simonyi BEDC in collaboration with the Big Data Research Group at Szentágothai János Research Center offers this unique one-semester Certificate in Data Science and Entrepreneurship program, which truly is an interdisciplinary business-technology-analytics program.
Swiss knives from XXI century: Business Intelligence, Machinel Learning, Big Data, Decision Making gives you the interpretation and action frameworks and also the confidence to ask the relevant questions, interpret the analyses and convert these knowledges to transform your data into business decisions. This two-weekends (2x2 days) experiential program brings together Big Data Research Group and faculty from the Economics (Dept of Quantitative Management) to help you grab new skills and insights the power of data analytics to enhance your personal abilities.
Involves the successful development of new business models and entrepreneurial ventures by exploiting new algorithms, models, theories, tools, and project solutions including data entrepreneurship, defining business models, fueling creativity and fostering open innovation.
Data Scientists analyze massive amounts of data, explore and see patterns and convert these to new products or services which are useful for business. This requires:
Day 1 (12th May 10 a.m - 15.30 p.m)
|A. Feldmann||General overview of data science from economical point of view.|
|R. Herczeg||Rstudio for marketing research and analytics|
|A Feldmann||Decision tree-based scoring systems in medicine. How to create recommending engines for surgical settings|
|R. Herczeg||Reproducible data analysis (research) with R and Rstudio|
|A Feldmann||Text mining oppurtunities: Personality insight: a new detection of Brand Identity and it's role in marketing|
Day 2 (13th May, 10 a.m - 15.30 p.m)
|A Feldmann||Hidden patterns in online forums - business values in comment sections. A case study.|
|D. Kehl||Analyzing and visualizing GPS data and elevation profiles|
|D. Kehl||Fuzzy matching based on several attributes. (Census data )|
|D.Kehl Herczeg R||How to pull relevant data using webscrapers and crawlers?|
Day 3 (19th May 10 a.m - 15.30 p.m)
|Kruzslicz F. Kovács B.||Foreign Exchange Market Forecasting with Japanese Candles,|
Day 4 (20th May 10 a.m - 15.30 p.m)
|Kruzslicz F.||Data driven direct marketing solution for banks|
Szentágothai Research Center, A001 room
The program is OPEN, but registration is required.
Registrate today via this link http://simonyibedc.ktk.pte.hu/forms !