Course overview
(AST230) R for Data Science
Instructor
Md Rasel Biswas
MS & BS in Applied Statistics (DU)
Lecturer at DU since July 2022
Email: rbiswas1@isrt.ac.bd
Course introduction
In the modern world, proficiency in software is a crucial skill. This course introduces students to R, an extremely powerful programming language for statistical computing and graphics generation. In this course, students will learn how to manipulate data, perform basic statistical analyses, and visualize results using R.
Course objectives
Upon completing this course, students will have developed a foundational understanding of the R programming language. Specifically, students will be able to:
- Work with various types of R objects,
- Read and write data in different formats,
- Apply basic programming tools in R,
- Write and utilize functions for data manipulation, and
- Create and customize various types of plots for data visualization.
Lecture plans
Lecture 1- 7: (Base R) Introduction to R and RStudio, R objects, basic R operations, data types in R, working with vectors, writing custom R functions, data structures (e.g. lists, data frames, etc.), subsetting R objects, control flow (choices and loops), summarising data frames, generating random samples.
Lecture 8-14: (tidyverse) Data science workflow, importing data into R, data wrangling with dplyr, verbs of dplyr, reshaping data, handling missing data, joining datasets, summarising data.
Lecture 15-20: (Visualization) Base R plot functions (histogram, boxplot, scatter plot, bar chart), Data vizualization with ggplot2 (layered grammar of graphics, univariate and bivariate plot functions)
Textbooks
Reference books
Lecture time
Every Tuesday 1:45 PM – 3:05 PM at ISRT Computer Lab 1 (Room 403)
Assessment
- Attendance: 5%
- Assignments: 5%
- Incourse exams: 30%
- Final exam: 60%