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Big Data Analytics.pdf

82721.00.pdf
Preview of Big Data Analytics
🔗 Source: tools.unisg.ch
📊 Size: 170 KB
👤 Author: Universität St. Gallen
⬇️ Downloads: 197

Summary

Big Data Analytics, Spring Semester 2021, offers 4 ECTS credits. The examination consists of two parts: a group examination paper (60%) and a group presentation (40%), both taking place during term time. The course introduces students to Big Data Analytics in empirical economic research, covering computational constraints, R programming, and practical applications. Students will learn to handle large data sets, apply relevant R packages, and understand technical challenges. The course is taught online due to the pandemic, with online lectures and Q&A sessions. The main textbooks are "Big Data Analytics with R" by Walkowiak and "Advanced R" by Wickham.

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Description

Big Data Analytics, Spring Semester 2021, offers 4 ECTS credits.

Technical Information

  • File Format: PDF
  • File Size: 170 KB
  • Pages: 5
  • Language: EN
  • Author: Universität St. Gallen
  • Total Downloads: 197
  • Last Updated: 7 days ago

Document Overview

This PDF document about Big Data Analytics provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Big Data Analytics.

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