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2023/24

EC9C3: Topics in Industrial Organisation and Data Science

2022/23

EC9C3: Topics in Industrial Organisation and Data Science

2024/25

EC9C3:Topics in Industrial Organisation and Data Science

2019/20

EC9C3:Topics in Industrial Organisation and Data Science

2018/19

EC9C3:Topics in Industrial Organisation and Data Science

2025/26

EC9D8:Foundations of Data Science in Economics

Introduction

Analyses in all fields of Economics nowadays make frequent use of large and detailed datasets ("big data"). The explosion in data access and availability opens many opportunities for applied research, as well as new challenges on how to handle, process, and extract meaningful conclusions from the data. The aim of the module is to introduce students to the R and Python programming languages and basic concepts of data science; and to provide and "hands-on" experience with economic data. The module lays the foundation to more advanced materials.

Module Aims

The primary aim of the module is to introduce students to the analytical tools of data science provided by the R and Python computing languages. It builds computer coding skills from the basic principles, and covers methods to acquire, process and manipulate large volumes of data, often obtained from the web. Data visualisation methods are also presented.

By the end of the module, students should feel comfortable with collecting, visualizing and presenting both structured and unstructured datasets. This should include using multiple programs/languages, depending on their application of interest, including Excel, R and Python. They should be aware of the advantages/disadvantages of each package and applications of each one.

Physics

Electron Microscopy Training

This course takes you through all the things you need to know in order to use the 2000FX TEM, from the principles of its operation and where different controls are found, to the alignments needed to get good data.

There is a quiz at the end of the course and you will need to pass this test before progressing to hands-on training.

There is an accompanying lecture, held once a term, to give more context and detail.

There is also a booklet describing the different alignments that you should have received in the email notifying you that you are on this course. It can be downloaded from http://www2.warwick.ac.uk/fac/sci/physics/research/condensedmatt/microscopy/em-rtp/training.

2023/24

ES1B5: Data Analysis I

2024/25

ES1B5:Data Analysis I

2021/22

ES2C7: Engineering Mathematics and Data Analytics

2023/24

ES2C7: Engineering Mathematics and Data Analytics

2020/21

ES2C7:Engineering Mathematics and Data Analytics

2019/20

ES2C7:Engineering Mathematics and Data Analytics