Programming With R For Business Analytic

QTM2623 Programming with R for Business Analytics
4 Credits
This course provides experience in developing, testing, and implementing business analytics software using the R language. R has become the leading tool for analytics software design, statistical computing, and graphics. The language is greatly enhanced by numerous open-source contributed packages and textbooks submitted by users, and it is used almost exclusively in most of the leading-edge analytics applications, such as statistical analysis and data mining. No prior programming experience is assumed. Students will become proficient in programming in the R language with datasets of all kinds with an emphasis on statistical exploration, data mining, graphics, and advanced programming concepts. The course will be case-oriented. The intent is to further enhance the learning experience from other analytics courses, such as QTM1010 and QTM2000.

Prerequisites: QTM1010 and QTM2000 or permission from the instructor

  • Program: Undergraduate
  • Division: Mathematics, Analytics, Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: QTM2623
  • Number of Credits: 4