LSE DS202 – Data Science for Social Scientists

2024/25 Winter Term

Author

Dr. Ghita Berrada

Important

🚧 This website is under construction. Pages will keep being updated in the next few weeks!

Image Created with Microsoft Designer. Prompt: 'A website favicon design using a mix of Persian indigo (#360568) and celadon (#A5E6BA) shades, created in an impressionist style. The image captures the magical experience of analyzing and modeling data with machine learning. It features abstract representations of interconnected data nodes and flowing patterns transforming into sparkling, gem-like insights. The design uses soft, painterly brushstrokes and harmonious blending of colors to evoke an artistic, dreamy, and Monet-inspired atmosphere, while being simple and clear for a favicon format.'

🧑🏻‍🏫 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
Photo of Yassine Lahna
Yassine Lahna
Data Scientist
MSc in Statistical Science (Oxford University)
📧
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
  • ⌚ 09:00 - 10:30
  • 📍 FAW.3.04
  • 🧑‍🏫 Tabtim


Group 02

  • 📆 Mondays
  • ⌚ 13:00 - 14:30
  • 📍 FAW.3.04
  • 🧑‍🏫 Stuart


Group 03

  • 📆 Mondays
  • ⌚ 15:00 - 16:30
  • 📍 FAW.3.04
  • 🧑‍🏫 Andreas


Group 04

  • 📆 Mondays
  • ⌚ 16:30 - 18:00
  • 📍 FAW.3.04
  • 🧑‍🏫 Yassine


🛟 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.

  • 📆 Wednesdays
  • ⌚ 10.00-11.30
  • 📍 COL.1.06 (Visualisation Studio)
  • 🧑‍🏫 Sara