About

R for Social Data Science course from Trinity College Dublin introduces participants to the core programming concepts, such as functions, variables, conditions, loops, working with libraries, and interacting with APIs. It also covers data management and visualisation. Best practices in project workflow and version control will also be introduced using Github.

Overview

R for Social Data Science course from Trinity College Dublin will introduce participants to basic computer programming skills for social data analysis.

In particular, it will introduce participants to the R programming language, which is an open-sourced and cross-platform tool for statistical analysis. The aim is for participants to acquire basic programming skills.

On successful completion of this module students will be able to:

Describe basic programming terminology, structures, and conventions.
Demonstrate familiarity with the R programming language, including the ability to write, execute and debug scripts.
Design project workflows through GitHub
Perform data wrangling and visualisation tasks using R.

Programme Structure

The schedule of topics for the class is as follows:

Sessions 1 & 2: Computation: Discuss core software development concepts such as computers

Sessions 3 & 4, R Basics: Environments, variables, assignment, and object types. Start using some built-in functions to describe data.

Sessions 5 & 6, Control Flow: Branching, if-else statements, and loops.

Sessions 8 & 9, Functions: Main building block of a program implemented in any computing language, learning how to construct them.

Sessions 10 & 11: Learn how to eliminate errors in structured ways and debug, measure execution time and benchmarking of specific operations.

Sessions 12 & 13: Focus on data frames (base R) and its tidyverse cousin tibble. We will also discuss formats of data storage and functions for data I/O and descriptive analysis.

Sessions 14 & 15: Learn how to plot data in different formats using base R and gglot.

Sessions 16 & 17, Gathering Electronic Data

Key information

Duration

Part-time
- 2 months

Start dates & application deadlines

We did our best, but couldn't find the next application deadline and start date information online.

Language

English

Delivered

Online

Disciplines

Computer Sciences Data Science & Big Data Data Analytics View 3 other Short Courses in Computer Sciences in Ireland

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Places are limited as class sizes are small, with up to 30 per class, so enroll as soon as possible to secure your place on the course.

You can enroll on the course directly via the PayPal link below. The course fee includes access to the course materials via Blackboard (Trinity’s virtual learning environment) for the duration of the course. Participation in this CPD course does not include access to the Trinity Library or any other student services (including a student identity card).

Technological requirements

Participants should have access to a laptop or desktop with camera and a microphone.

Tuition Fee

To always see correct tuition fees

International

1500 EUR/full

Tuition Fee

Based on the tuition of 1500 EUR for the full programme during 2 months.
EU/EEA

1500 EUR/full

Tuition Fee

Based on the tuition of 1500 EUR for the full programme during 2 months.

Funding

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R for Social Data Science