The module provides an understanding of quantitative data
analysis in social science research.
It aims to develop practical skills through project work.
Key software - includes open-source packages such as
Python/R.
Focuses on building confidence in handling large quantitative
datasets.
Lecture Timing:
Tuesday and Thursday - 7pm to 9pm
• Saturdays (limited - if required/applicable)
• Lectures will be followed by Q/A sessions or practical demo.
• 10 lectures, divided into 20 lectures throughout.
• Lecture Slide deck Naming Convention : DS7006_W1_L1, DS7006_W2_L1, and so on.
• Module Prerequisites: Statistics, Linear Algebra, Programming in R or Python.
Module Lecturer: Dr Anwesha Mohanty
Contact: anwesha@chevrontraining.ie
analysis in social science research.
It aims to develop practical skills through project work.
Key software - includes open-source packages such as
Python/R.
Focuses on building confidence in handling large quantitative
datasets.
Lecture Timing:
Tuesday and Thursday - 7pm to 9pm
• Saturdays (limited - if required/applicable)
• Lectures will be followed by Q/A sessions or practical demo.
• 10 lectures, divided into 20 lectures throughout.
• Lecture Slide deck Naming Convention : DS7006_W1_L1, DS7006_W2_L1, and so on.
• Module Prerequisites: Statistics, Linear Algebra, Programming in R or Python.
Module Lecturer: Dr Anwesha Mohanty
Contact: anwesha@chevrontraining.ie