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Advanced Data Science

The Advanced Data Science unit will set the context on the emerging domain of data science and guide students through the data science pipeline. At the end of the course students will be familiar with the purpose of data science, how it differs from the closely related fields of machine learning, statistics and artificial intelligence and what a typical data analysis pipeline looks like in practice. As well as emphasising the importance of analysis methods we will introduce a formalism for organising how data science is done in practice and what the different aspects the data scientist faces when giving data-driven answers to questions of interest.

Your assessment is available in Moodle. The assessment is tightly integrated with the course lecturing, it is staged so that you should be able to make a start on the first question as soon as you’ve finished Lab Session One. Your assessment should progress alongside the course with different questions becoming easier to answer as you complete each of the labs.

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Lectures

Week 5 Session 1: The Data Science Landscape

Lecturer: Neil D. Lawrence
Venue: LT2, William Gates Building
Date: Friday, November 05, 2021
Time: 10:00

Week 5: Review and Refresher

Lecturer: Neil D. Lawrence
Venue: Intel Lab, William Gates Building
Date: Friday, November 05, 2021
Time: 10:00

Week 5 Session 2: The Challenges of Data Science

Lecturer: Neil D. Lawrence
Venue: LT2, William Gates Building
Date: Monday, November 08, 2021
Time: 10:00

Week 5: Practical 1 - SQLite variant

Lecturer: Christian CabreraEric MeissnerNeil D. Lawrence
Venue: Intel Lab, William Gates Building
Date: Tuesday, November 09, 2021
Time: 15:00

Week 5: Practical 1

Lecturer: Christian CabreraEric MeissnerNeil D. Lawrence
Venue: Intel Lab, William Gates Building
Date: Tuesday, November 09, 2021
Time: 15:00

Week 5 Session 4: Data Science Challenges II

Lecturer: Neil D. Lawrence
Venue: LT2, William Gates Building
Date: Wednesday, November 10, 2021
Time: 10:00

Week 6: Practical 2

Lecturer: Neil D. Lawrence
Venue: Intel Lab, William Gates Building
Date: Thursday, November 11, 2021
Time: 15:00

Week 6 Session 2: A Data Science Process

Lecturer: Neil D. Lawrence
Venue: LT2, William Gates Building
Date: Monday, November 15, 2021
Time: 10:00

Week 6: Practical 3

Lecturer: Carl Henrik Ek
Venue: Intel Lab, William Gates Building
Date: Tuesday, November 16, 2021
Time: 15:00

Week 6 Session 3: Introduction to Statistical Learning

Lecturer: Carl Henrik Ek
Venue: LT2, William Gates Building
Date: Wednesday, November 17, 2021
Time: 10:00

Week 7 Session 1: Generalised Linear Models

Lecturer: Carl Henrik Ek
Venue: LT2, William Gates Building
Date: Monday, November 22, 2021
Time: 10:00

Week 7 Session 2: Visualisation

Lecturer: Carl Henrik Ek
Venue: LT2, William Gates Building
Date: Wednesday, November 24, 2021
Time: 10:00