Week No. | Date | Topic | Cheatsheet | Reading | Exercise |
---|---|---|---|---|---|
1 | April 25, 2024 | Introduction to R Programming | cheatsheet | Reading 2.1, 2.2, 5.1 | Exercise 1.8 |
2 | May 16, 2024 | Data Structures in R: Vector creation | Sections 2.1-2.5 | Exercise 2.6 | |
3 | May 30, 2024 | Built-in functions in R: Anatomy | |||
4 | June 6, 2024 | Working with built-in functions in R | |||
5 | June 13, 2024 | Data Visualisation with qplot | Chapter 19 | See slides | |
6 | June 14, 2024 | User-defined functions | See slides | ||
7/8 | June 20, 2024/ June 27, 2024 | Control Structures | See slides | ||
9 | June 28, 2024 | Introduction to the Tidyverse Data Science Workflow: Tibble, Factor, Pipe operator | R for Data Science | See slides | |
10 | July 4, 2024 | Reproducible Reporting | |||
11 | July 11, 2024 | Data import and export | |||
Reshaping data | |||||
12 | July 18, 2024 | Data wrangling with dplyr | cheatsheet | Ch 5 | |
Regression Analysis with R | |||||
13 | July 25, 2024 | Grammar of graphics |
STA 326 2.0/ ASP 454 2.0/ CSC 381 2.0 Programming and Data Analysis with R
Lecturer-in-charge
ttalagala@sjp.ac.lk
Policies and regulations
To access important information regarding the unit, please go to the course Learning Management System (LMS) page. Click here to go directly to the LMS. You must carefully read the “Course Information” slide set for essential details. It is your responsibility to be aware of important details by thoroughly reviewing the “Course Information” slides.
Course outline
Available on LMS
Google Classroom
I also opened a Google Classroom as a backup strategy in case the LMS failed. Kindly ensure that you join it. The password is available on LMS under announcements.
Weekly schedule: Lectures 👩🏫
Mid-Semester Examination: Individual Assignment
Released on: July 27, 2024
Submission deadline: August 2, 2024: before 8.00AM
Please check 2024 Google Classroom or the LMS to view your assignment. All assignment updates will be posted on 2024 Google Classroom.
Weekly schedule: Computer Practical 🖥️
Monday, 8am - 9.45am
Monday, 3pm - 5pm
Week No. | Date | Exercise |
---|---|---|
1 | April 29, 2024 | Exercise 1.12 |
2 | May 20, 2024 | Exercise 2.6 |
3 | May 27, 2024 | Exercise 2.10 and 2.12 |
4 | June 4, 2024 | Exercise 2.14 and Exercise 2.16 |
5 | June 10, 2024 | Q2-Q6 |
6 | June 24, 2024 | Perform EDA on iris data sets and complete exercises in user-defined functions slide set |