Assignment details
Weekly Homeworks
To practice writing R code, exploring datasets, and running statistical models you will complete a series of weekly homeworks.
There are 3 weekly homeworks to be undertaken with your group and these will be graded using a check system:
- 5/5: Problem set is 100% completed. Every question was attempted and answered, and most answers are correct. Document is clean and easy to follow. Work is exceptional. I will not assign these often.
- 3/5: Problem set is 70–99% complete and most answers are correct. This is the expected level of performance.
- 1/5: Problem set is less than 70% complete and/or most answers are incorrect. This indicates that you need to improve next time. I will hopefully not assign these often.
Final project
At the end of the course, you will demonstrate your knowledge by working on a group assignment … Complete details for the final project will be made available here.
Portfolio website
You will all have to build your own online presence; I am not talking about Twitter, Instagram, and TikTok, but your own website where, besides your CV and information about you, you share your data analytics work in public. These can be polished examples of some of the exercises we will work on, or any other dataset/question that interests you. We will be using hugo and blogdown and you can find such a portfolio website by Isabella Benabaye. Isabella used the Academic Theme for Hugo, but there are many Hugo themes you can choose from, or go with theme Forty: A portfolio/blog website built for companies or personal freelancers
Final Exam
There will be a final exam that will cover
- Programming in R and the tidyverse (about a third of total marks)
- the core statistical tools of inferential statistics and linear models.
You will take the final exam online and even though you can take it anytime within a 24-hour window, this will be a timed, 3-hour exam. You can use any notes and readings and the Google, but you must take the exam on your own though, and not talk to anyone about it.