LSE DS202 – Data Science for Social Scientists
2024/25 Autumn Term

🥐 Releases for this week:
- The topic for the group project is out: head here
- Your W11+1 feedback is out on Moodle.
🧑🏻🏫 Our Team

Assistant Professor of Data Science (Education)
LSE Data Science Institute
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COURSE CONVENOR LECTURER

Data Scientist at The Economist
MSc in Applied Social Data Science (LSE)
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CLASS TEACHER

Data Scientist at Microsoft
MSc in Data Science (LSE)
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CLASS TEACHER

Guest Lecturer at the Data Science Institute
DPhil in Politics (Oxford University)
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CLASS TEACHER

Data Scientist
MSc in Statistical Science (Oxford University)
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CLASS TEACHER

Research Officer
LSE Data Science Institute and LSE Cities
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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.

Teaching and Learning Administrator
LSE Data Science Institute
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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