MSc To Do List

1. ST8001 Introduction to Statistical Methods
2. ST8002 Implementing Statistical Methods in R
3. ST8003 Linear Regression
4. ST80080 Foundations of Data Science 1

First Semester (Michaelmas Term)

• Week #1: Session #1 – Data Summaries and Graphs
• Week #2: Session #2 – Using Data to Learn, Answer Questions and Make Decisions
• Week #3: Session #3 – Basic Probability and Statistical Models
• Week #4: Session #4 – Hypothesis Tests
• Week #5: Session #1 of ST8002
• Week #6: Session #2 of ST8002
• Week #7: (reading week)
• Week #8: Session #5 – Confidence Intervals and Type I and Type II Errors
• Week #9: Session #6 – Analysing Count Data
• Week #10: Session #7 – Going Beyond the Mean
• Week #11: Session #3 of ST8002
• Week #12: Session #4 of ST8002

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MPhil Prep Resource List

Necessary

Linear Algebra

1. MIT video lectures... from 1999...
2. Khan Academy video lectures not from 1999
3. The textbook .PDF on your phone
4. Linear algebra in NumPy
5. NumPy linear algebra exercises

Probability and Distributions

1. High-school-level revision explanation
2. Data science-specific basics
3. Part of a larger Khan Academy unit, but probably comes up in current course

Statistical Inference

1. w3schools explanation (but probably repeats current course)

Optional

Fourier Analysis

1. MIT course with assignments

Partial Differential Equations

1. Geeks for Geeks run-through

Classical Mechanics

1. UCL course notes
2. MIT course

Multi-Variable Calculus

1. Khan Academy

Miscellaneous

1. The pre-work that the physics director emailed you
2. pdfcoffee.com
3. libgen.is
4. Textbooks on phone (Linear Algebra, Statistics, Regression Analysis)