LSE DS202 – Data Science for Social Scientists

2024/25 Autumn Term

Author

Dr. Ghita Berrada

Image Created with Stable Diffusion Ultra. Prompt: 'a royal blue and gold website favicon in the style of a Dali painting depicting the surreal experience of analysing and modelling data with machine learning techniques to get precious gems of insight'
Important

🚧 This website is still in construction. The pages will keep being updated over the next few weeks.

Note

🥐 Releases for this week:

  • Week 3 lab solutions: head here
  • Homework for this week (in preparation for the week 4 lab - release of solutions on Sunday morning): head here
Warning

⚠️ Next week’s weekly drop-in session will take place on Thursday (24 October) from 15:00-16.15 instead of the usual Tuesday 12.15-13.30 slot!

🧑🏻‍🏫 Our Team

Photo of Dr Ghita Berrada
Dr. Ghita Berrada
Assistant Professor of Data Science (Education)
LSE Data Science Institute
📧
COURSE CONVENOR LECTURER
Photo of Tabtim Duenger
Tabtim Duenger
Data Scientist at The Economist
MSc in Applied Social Data Science (LSE)
📧
CLASS TEACHER
Photo of Andreas Stöffelbauer
Andreas Stöffelbauer
Data Scientist at Microsoft
MSc in Data Science (LSE)
📧
CLASS TEACHER
Photo of Stuart Bramwell
Dr Stuart Bramwell
Guest Lecturer at the Data Science Institute
DPhil in Politics (Oxford University)
📧
CLASS TEACHER
Placeholder for Yassine Lahna's photo
Yassine Lahna


📧
CLASS TEACHER
Photo of Sara Luxmoore (with a cat!)
Sara Luxmoore
Research Officer
LSE Data Science Institute and LSE Cities
📧
SUPPORT SESSIONS

Could this be you?

Course reps are the link between the students and the academic staff. They attend Teaching Committee meetings to share students’ feedback and suggestions. As a perk, course reps are guaranteed a place in the industry trips we organise.

Learn how to nominate yourself on the 🗳️ Course Rep page.

Photo of Kevin Kittoe
Kevin Kittoe
Teaching and Learning Administrator
LSE Data Science Institute
📧
ADMIN

📍 Lecture

  • 📆 Fridays*
  • ⌚ 14:00 - 16:00
  • 📍 CKK.LG.09 (🗺️ campus map)
  • Lecturer:
    • 👩🏻‍🏫 Ghita

* except Week 06 - Reading Week

💻 Class Groups

Group 01

  • 📆 Mondays
  • ⌚ 12:00 - 13:30
  • 📍 PAN.2.02
  • 🧑‍🏫 Yassine*

* substituted by Andreas on Week 01

Group 02

  • 📆 Mondays
  • ⌚ 13:30 - 15:00
  • 📍 PAN.2.02
  • 🧑‍🏫 Andreas*

* substituted by Yassine on Week 03

Group 03

  • 📆 Tuesdays
  • ⌚ 09:00 - 10:30
  • 📍 PAN.2.02
  • 🧑‍🏫 Stuart


Group 04

  • 📆 Tuesdays
  • ⌚ 10:30 - 12:00
  • 📍 PAN.2.02
  • 🧑‍🏫 Stuart


Group 05

  • 📆 Tuesdays
  • ⌚ 15:00 - 16:30
  • 📍 CKK.2.09
  • 🧑‍🏫 Tabtim


Group 06

  • 📆 Tuesdays
  • ⌚ 16:30 - 18:00
  • 📍 CKK.2.09
  • 🧑‍🏫 Tabtim


🛟 Additional weekly support sessions

Every week, we will offer drop-in sessions (no booking required) where you can get help with the week’s homework or with an upcoming assessment, ask questions about the lectures and classes, or simply chat with your peers and teachers.

  • 📆 Tuesdays*
  • ⌚ 12:15 - 13:30
  • 📍 COL.1.06
  • 🧑‍🏫 Sara

* except Week 04 where the session will exceptionally be run on Thursday between 15:00-16.15