Real-world Data: A Web Scraping Workshop

Gathering, cleaning and analyzing messy data

If you already started your data science journey on your own you might have worked with some tutorials and courses that provide you with a clean and neat data set to train your machine learning models on. This is great for learning the principles of the algorithms, but the real world is not neat and clean. Real-world data is messy, incomplete, and probably not what you were looking for in the first place.

In this workshop we will look at techniques for gathering data, we will build a program for scraping web content and we will clean and preprocess that data so we can analyze it.

This course is great if you are trying to build a portfolio of machine learning and data science projects. Employers like to see that you are able to work with real data. And if you can gather your own data you are not limited by the existence of nicely prepared datasets to conduct your machine learning experiments.

The workshop is 3 hours. It requires some basic programming experience, preferably in Python. Participants must bring their own laptop.

What do you get?

• Hands-on training in web scraping
• Learn about working with messy and incomplete data
• Gain valuable skills for portfolio building
• Certificate of completion
• Food will be served

Prerequisites

• Working knowledge in programming (preferrably Python)
• Participants must bring their own laptop (Win/Linux/Mac)