Block A Recap

Today, we recap everything we learned in Block A about data science in R, primarily descriptive statistics. To achieve this, we're going to do this using a mini-course on Codecademy.

If you still need to work on your poster, feel free to do this instead. Remember that the deadline for handing in the conference poster is Friday of week 8 at 17:00! If you feel like you don't need to recap or need some time off, today is a good day for that. You should take some time to recharge if you feel like it :)

Please follow the links below to continue the class:

  1. Workshop: 6 hours

Questions or issues?

If you have any questions or issues regarding the course material, please first ask your peers or ask us in the daily Q&A at 16:00!

Good luck!

0) Workshop

Go to codecademy and log in with your BUAS credential. The course will reinforce the core data science learning objectives for this block. The course on hypothesis testing is not part of our year 1 curriculum so I wouldn't do that one just yet. We'll go into that in year 2.

1) Daily Q&A

At 16:00, there's an online meeting on our Microsoft Team Channel you're encouraged to take part in to ask questions and to discuss our progress and reflect on today activities.

The end!

Tomorrow we will have some time to work on the conference poster and then at 13:00 you'll have the poster demonstration. This is a formative assessment on your conference poster meaning that you are given a chance to collect feedback and reflect: you are not assessed for a grade, that takes place in week 9.

Resources