class: center, middle, inverse, title-slide # STA 517 3.0 Programming and Statistical Computing with R ## 🎉 ### ### Dr Thiyanga Talagala ### Lecture 1: Getting Started --- ## Lecturer-in-charge and Chief Examiner .pull-left[ - Dr Thiyanga S. Talagala - PhD in Statistics (2019), Monash University, Australia - BSc (Hons, Special) Statistics, University of Sri Jayewardenepura - Batch first and Professor R A Dayananda Gold Medalist ] .pull-right[ - Research interests - Data visualization - Computer vision - Time series forecasting - Machine learning and interpretability methods - Statistical computing ] - Personal website: https://thiyanga.netlify.app/ --- ## Requirements - Each student is required to join both lectures and exams with a computer with R and RStudio installed. - Internet connection. --- ## Course website <iframe src="https://hellor.netlify.app/mscschedule/" width="100%" height="400px" data-external="1"></iframe> https://hellor.netlify.app/mscschedule/ --- ## Course outline <iframe src="https://hellor.netlify.app/msc/STA_517_3_0_Programming_and_Data_Analysis_with_R_MSc_2020.pdf" width="100%" height="400px" data-external="1"></iframe> --- ## Help us to help you! .pull-left[  ] -- .pull-right[ - Use the LMS forum to ask questions. - Feel free to answer each others questions. - I will also provide answers. - Email ttalagala@sjp.ac.lk only for issues that are personal. - For details on consultation see course website. ] --- class: inverse, center, middle # Additional resources --- ## R Ladies  --- ## R Ladies <iframe src="https://rladies.org/" width="100%" height="400px" data-external="1"></iframe> --- ## R Ladies Colombo <iframe src="https://rladiescolombo.netlify.app/" width="100%" height="400px" data-external="1"></iframe> --- ## Other - Stack Overflow: question and answer website for professional and enthusiast programmers - Cousera - DataCamp - Udemy etc. --- background-image: url('horse.png') background-position: center background-size: cover --- background-image: url('job1.png') background-position: center background-size: cover --- background-image: url('job2.png') background-position: center background-size: cover --- background-image: url('job3.png') background-position: center background-size: cover --- background-image: url('job4.png') background-position: center background-size: cover --- class: inverse, center, middle # Buckle up - Let's get started.