LSE DS202 – Data Science for Social Scientists
📰 DS202 Blog
DS202 Blog
🏠 Home
📰 DS202 Blog
📚 Course Info
📓 Syllabus
🗳️ Course Rep
📋 Getting Ready
📟 Communication
🤖 Generative AI policy
✍️ Assessments
📋 Overview
🧳 General Course
📝 W04 Formative
📝 W08 Summative
✅ W08 Summative: Example solution
📝 W11+1 Summative
🗓️ Weeks
Week 01
📚 Lab Prep
🛣️ Lab Roadmap
✅ Lab Solutions
👩🏻🏫 Lecture Material
Week 02
📚 Lab Prep
🛣️ Lab Roadmap
⏭️ After the Lab
✅ Lab Solutions
👩🏻🏫 Lecture Material
Week 03
📚 Lab Prep
🛣️ Lab Roadmap
✅ Lab Solutions
📝 Homework (Prep Lab W04)
✅ Homework (Prep Lab W04) solutions
👩🏻🏫 Lecture Material
Week 04
🛣️ Lab Roadmap
✅ Lab Solutions
👩🏻🏫 Lecture Material
Week 05
🛣️ Lab Roadmap
✅ Lab Solutions
👩🏻🏫 Lecture Material
Week 06
📚 Reading Week Homework
✅ Reading Week Homework Solutions
Week 07
🛣️ Lab Roadmap
✅ Lab Solutions
👩🏻🏫 Lecture Material
Week 08
🛣️ Lab Roadmap
✅ Lab Solutions
👩🏻🏫 Lecture Material
Week 09
🛣️ Lab Roadmap
✅ Lab Solutions
👩🏻🏫 Lecture Material
Week 10
🛣️ Lab Roadmap
✅ Lab Solutions
👩🏻🏫 Lecture Material
Week 11
🛣️ Lab Roadmap
🗓️ Week 11 - Applications
Categories
All
(3)
studying
(3)
Order By
Default
Title
Date - Oldest
Date - Newest
Author
Why don’t we focus on p-values in this course?
5 min
What p-values are, and what they are not.
Tabtim Duenger
24 Oct 2023
The tidymodels Approach: Recipes and Workflows
4 min
How data science is done in R has changed rapidly over the last few years with the introduction of the tidyverse and tidymodelling.
Andreas Stöffelbauer
24 Oct 2023
Creating a Knowledge Map
4 min
Have you ever tried using a knowledge map to organize your thoughts? It can be a great way to visualize complex information and make it easier to understand.
Andreas Stöffelbauer
15 Oct 2023
No matching items
🏠 Home
📓 Syllabus