Welcome to ST201 - Data Analysis

Module Overview

Cormac Monaghan

Department of Mathematics and Statistics, Maynooth University

ST201 - Data Analysis

Module information

Office: Logic House Room 223

Email: cormac.monaghan@mu.ie

Lectures

  • Tuesdays @3pm in Physics Hall
  • Thursdays @12pm in Physics Hall

Tutorials

  • Tutorials run every two weeks, starting on Week 4 (12th Oct).
  • There will be 4 in total.
  • Make sure you sign up to one the times on Moodle

ST201 - Data Analysis

Module information

Assessment

  • 4 Assignments worth 15%
  • 1 Midterm worth 10% (10th November @3pm)
  • Final Exam worth 75% (7th January @10am)

Textbook

Introduction to Statistical and Data Analysis by Christian Heimann & Michael Schomaker Shalabh

Long list of free data science textbooks

ST201 - Data Analysis

Office Student Hours

Student hours are set times dedicated to all of you. Most professors call these “office hours” - which I always found too formal and scary!

Why student hours?

Students often think that “office hours” are times when professors should be left alone - which is the total opposite. I’m hoping that by calling them student hours, it might alleviate this misunderstanding.

This means that during these times I’ll be waiting for you to talk to me where you can ask whatever questions you may have.

You can schedule a meeting with me here.

Or just knock on the door and pop in!

ST201 - Data Analysis

Lecture format

  • All the slides and reference material will be uploaded to a dedicated module website
  • I will also add them to Moodle.
  • Some lectures will focus on slides and class materials, while others will involve R coding sessions using RStudio.
  • Just like the slides, all the R code will be provided to help you along with your learning.

If you have questions

Please stop me at any point to ask a question or ask me to clarify something. Alternatively, if you’re a shy person (like me!) you can come up and ask me at the end of class!

ST201 - Data Analysis

What we will cover

This modules aims to introduce you to the fundamentals of data analysis using R. This course will cover (but is not limited to) the following topics:

  • Numerical and graphical data summaries
  • Measures of central tendency
  • Association of two or more variables
  • Correlation
  • Regression

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  • This is my cat
  • His name is Bigsy
  • His favourite things are sleeping, eating, and hiding mice in the house