Hands-on Introduction Course in R

There is a common sense on the importance of Big Data and Data Science topics in both ‘Academia’ and ‘Industry’. R is one of the interactive application tools which handles the data manipulation, statistical analyses and visualization under the scope of these contemporary topics. One of the challenges for Data Science is acquiring the larger data sets from different sources. In this course, we build a bridge between the command line and R to get the data sets larger in size. After covering some data preprocessing, a map package will be used to map one of the up-to-date data sets. Lastly, we will cover some basics for SQL in R. All subjects covered in this course will be examined through examples to explore the program. For the mentees, a laptop with command line (UNIX/LINUX) included, R and RStudio installed will provide the ease of participation, learning and application. This course welcomes all of you who want to add some more to your skills on LINUX and R programming. Please provide the following tools before attending the course: Visit the R website: https://www.r-project.org and download R. RStudio is a free, open-source, integrated development environment (IDE) for R. To learn more about RStudio and download a copy, see http: //www.rstudio.org. Please install "cygwin" to use LINUX distribution on Windows from the following link: http://www.cygwin.com. Use the setup program and you are ready to use LINUX on your Windows. Apple users may use "iTerm" located on their IOS
Citation Formats
F. GÖKALP YAVUZ, “Hands-on Introduction Course in R,” presented at the y-BIS, Young Business and Industrial Statisticians, (25 - 28 Kasım 2019), İstanbul, Turkey, 2019, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/85542.