LSE DS105M (2022/23)

Data for Data Science

Author

📑 Course Brief

Focus: learn how to collect and handle so-called “real data”

How: hands-on coding exercises and a group project

Understand the basic structure of data types and common data formats
Show familiarity with international standards for common data types
Manage a typical data acquisition, cleaning, structuring, and analysis workflow using practical examples
Clean data, and diagnose common problems involved in data corruption and how to fix them
Understand the concept and fundamentals of databases
Link data from different sources
Use the collaboration and version control system GitHub, based on the git version control system.
Markup Language (XML), and the Markdown format for formatting documents and web pages.
Create and maintain simple websites using HTML and CSS
Use APIs to send and retrieve data from Internet sources

Office Hours:

Photo of Anton Boichenko
Anton Boichenko
Guest Teacher at the LSE Data Science Institute
Product Developer at Decoded
MSc in Applied Social Data Science (LSE)