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Checklist

Upcoming

• [ ] Week 2: Mathematics
• [ ] Week 3: Getting and Cleaning Data
• [ ] Week 4: Further Statistics
• [ ] Week 5: Data Analysis Basics

On-going

• [ ] Week 1: Basic Python Programming
• [ ] Week 1: Basic Data Exploration

Completed

• [x] Week 0: Intro to Module
• [x] Week 0: Python Setup

Lecture Notes

Lecture Notes

Tutorials

Tutorials

Assignments

Assignments

Other

Past Exam Papers

Reading List

Contact/About

Course Overview

1. Introduction to course
   • Teaching staff
   • Course overview
   • Deadlines
   • Code setup ⇒ lead into tutorials after
2. Python Programming
   • Data Structures
   • Functions
   • Object Oriented Programming
   • Time Complexity
3. Data Science Packages
   • Numpy
   • Pandas
   • Matplotlib
   • SciPy
   • Tensorflow
4. Mathematics Intro
   • Statistics
   • Probability
   • Calculus
   • Linear Alegbra
5. Getting and Clearning Data
   • Static Files
   • SQL
   • Web Scraping
   • APIs
   • Messy data
6. Statistical Inference
   • Event Space
   • Probability
   • Distributions
   • Hypothesis Testing
7. Summarizing and Visualising Data
   • Descriptive Statistics
   • Exploratory Data Analysis