Title: Basic Data Analysis in R for Social Sciences (Summer 2022)
Instructor: Kostiantyn Ovsiannikov
Email: ovsiannikov@kochi-tech.ac.jp
Office Hours: by appointment
GitHub: ko-suta
Focusing on the data analysis in R programming language, this course will cover the following activities: data exploration, transformation, visualization, modeling, and communication.
It will concentrate on the relevant socio-economic data-sets, enabling the participants to complement their prior knowledge and interests with data-oriented know-how.
The students will learn basic statistical techniques in R through hands-on sessions, getting familiar with R language through joint exercises.
As a result, they will be able to apply various quantitative skills in their respective research projects and will be equipped with techniques to master more advanced R operations in future.
hands-on sessions;
demonstrations of R capabilities via the customized website created for this course;
exercises and assignments based on a real data
Equipping students with basic tools for data analysis in R that they will be able to apply in their research projects and beyond.
Course attendance of more than 70%
Based on the covered material, completion of several assignments in R language such as:
Exploratory data analysis
Data modelling
Data visualization
Due to a variety of available R tools suited for these purposes, students will be encouraged to demonstrate their analytical and creative skills.
Participants will also be able to use datasets of their own choice and interest, directly applying quantitative techniques in R for their research projects.
If you see mistakes or want to suggest changes, please create an issue on the source repository.
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/ko-suta/r-intro/, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".