DS101 – Fundamentals of Data Science
30 Sep 2024
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Hear from alumni or industry experts about their career paths and how they got to where they are today.
Last event:
🗓️ Keeping London Moving with Data (28 February 4 - 5.30pm)
A talk about life in the data world at TfL. Jemima, Graduate Data Scientist at Transport for London (TfL) will talk about her experience as a Data Science Graduate in our inaugural programme. Lauren Sager Weinstein, Chief Data Officer, at Transport for London (TfL) will talk about how she’s leading TfL’s data strategy, and how all the components of data careers (data scientists, data developers, data product managers, and data users) can come together to deliver on our data vision: To empower our people to make better decisions with data.
Read more about this series of events: 🔗 Link
Sign up for DSI events at lse.ac.uk/DSI/Events
DSI offers accessible introductions to Data Science:
Fundamentals of
Data Science
🎯 Focus:
theoretical concepts of data science
📂 How:
reflections through reading and writing
Data for
Data Scientists
🎯 Focus:
collection and handling of real data
📂 How:
hands-on coding exercises and a group project
Data Science for
Social Scientists
🎯 Focus:
fundamental machine learning algorithms
📂 How:
practical use of ML techniques and metrics
Advanced Data Manipulation
🎯 Focus:
More advanced data collection/manipulation techniques than DS105
📂 How:
decision support systems
machine learning applications
databases
provenance
ethical AI/XAI
social identity democratisation
political elites political economy
data science machine learning
psychology & physiology
Programme | Freq |
---|---|
General Course | 12 |
BSc in International Social and Public Policy | 6 |
BSc in Economics | 3 |
BA in History | 2 |
BSc in Economic History | 2 |
BSc in Politics | 2 |
LLB in Laws | 2 |
BSc in History and Politics | 1 |
BSc in International Relations | 1 |
BSc in Philosophy, Logic and Scientific Method | 1 |
BSc in Psychological and Behavioural Science | 1 |
Erasmus Reciprocal Exchange Programme of Study | 1 |
Exchange Programme for Students from IE University Madrid | 1 |
Exchange Programme for Students from University of California, Santa Cruz | 1 |
Source: LSE For You. Last Updated: 29 September 2024
The current abundance of data is strongly associated with the dramatic changes in technology in the past few decades.
To interact with this plot, check reference (Fischer-Baum 2017) at the end of this presentation.
To interact with this plot, check reference (Fischer-Baum 2017) at the end of this presentation.
To interact with this plot, check reference (Fischer-Baum 2017) at the end of this presentation.
New data to answer old questions:
New questions enabled by new data/new technologies:
“[…] a field of study and practice that involves the collection, storage, and processing of data in order to derive important 💡insights into a problem or a phenomenon.
Such data may be generated by humans (surveys, logs, etc.) or machines (weather data, road vision, etc.),
and could be in different formats (text, audio, video, augmented or virtual reality, etc.).”
knows everything about statistics
is a fluent computer programmer
fully understands businesses like no one
able to communicate insights perfectly
We are all jugglers 🤹
It is often said that 80% of the time and effort spent on a data science project goes to the abovementioned tasks.
Boris Eldagsen’s award-winning picture “Pseudomnesia: The Electrician” at the Sony world photography awards (2023).
Source: Williams (2023)
Eldagsen’s position on generative AI:
Source: Grierson (2023)
Eldagsen’s position on generative AI:
he refused the photography award and says he “applied as a cheeky monkey” to find out if competitions would be prepared for AI images to enter. “They are not,” according to him.
“We, the photo world, need an open discussion. A discussion about what we want to consider photography and what not. Is the umbrella of photography large enough to invite AI images to enter – or would this be a mistake? With my refusal of the award I hope to speed up this debate.”
“AI images and photography should not compete with each other in an award like this. They are different entities. AI is not photography. Therefore I will not accept the award.”
⏭️ Let’s look at a few other examples
“An impressionist revolutionary cat on a roof”
“A cat on the moon holding a box with the source of true wisdom and happiness; cubism style”
“A dignified cat thinking hard about existential questions, Van Gogh painting”
“A silly cat on the moon holding a box with the source of true wisdom and happiness; Dutch realist painting style”
After the break:
LSE DS101A (2024/25) – Week 01