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Data Science with applications in R course covering the advanced topics and following the Data Science with R I course. Data Science with R II covers clustering, text mining, support vector machines, neural networks, and networks. The main aim of the course is to train students to be able to properly analyze specific datasets with methods outside of standard econometric framework using the R programming environment.
Last update: Bednařík Petr, PhDr., Ph.D. (06.06.2020)
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The main aim of the course is to train students to be able to properly analyze specific datasets with methods outside of standard econometric framework using the R programming environment. Last update: SCHNELLEROVA (02.09.2019)
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Mandatory literature:
Additional suggested literature:
Last update: Krištoufek Ladislav, prof. PhDr., Ph.D. (18.02.2024)
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LECTURES & SEMINARS:
Q&A SESSIONS:
Software: R/R Studio (freeware, available on all 016 computers) Last update: Krištoufek Ladislav, prof. PhDr., Ph.D. (18.02.2025)
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The final grade consists of four ingredients:
Grading scale (according to Dean's Provision 17/2018):
DataCamp.com assignments (use this link to enroll to the DataCamp class; use your @fsv.cuni.cz email to register, exchange students should contact me for an invite):
DataCamp.com projects (use this link to enroll to the DataCamp class; use your @fsv.cuni.cz email to register, exchange students should contact me for an invite):
Paper presentation:
Last update: Krištoufek Ladislav, prof. PhDr., Ph.D. (18.02.2025)
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All online videos (lectures and coding) via Loom (respecting the planned scheduled): BLOCK I - What remains in Supervised learning (Week 1)
BLOCK II - Unsupervised learning (Weeks 2-6)
BLOCK III - Text mining (Weeks 7-8)
BLOCK IV - Network analysis (Weeks 9-10)
BLOCK V - Documentation and presentation of results (Weeks 11-13)
Last update: Krištoufek Ladislav, prof. PhDr., Ph.D. (18.02.2025)
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Data Science with R I (JEM221) or the previous Data Science with R (JEM181) are prerequisites of the course. Last update: Krištoufek Ladislav, prof. PhDr., Ph.D. (26.09.2019)
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Data Science with R I (JEM221) or the previous Data Science with R (JEM181) are prerequisites of the course. Last update: Krištoufek Ladislav, prof. PhDr., Ph.D. (26.09.2019)
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