This course proposes an introduction to Big Data. The objective is to provide a broad scope view of the main challenges related to Big Data and to introduce their main solutions.
Course outline:
- What are “Big Data” and where do they come from?
- How to manipulate Big Data (Hadoop, NoSql, etc.)?
- How to analyse Big Data? The difference between econometrics and machine learning
- “Fat Data” and machine learning
- Advantages and limits of machine learning techniques
- Pros and cons of Big Data
- Remaining challenges
- Application on a software (R/Python)