The Beginner's Guide to Data Science: Introduction to Coding with Python

Welcome to data science. This three-part series will be a project-based class, where we will use data science to better attract customers to an imaginary business or nonprofit in NYC. In doing so, we will learn how to use coding and data science techniques to acquire and interpret our data. No previous background in coding or data science is needed. This is a workshop, so please bring a laptop if you have one; otherwise, we will provide one.

Saturday, April 27, 11-1: Introduction to Coding with Python

At the end of this class, you'll be able to search for restaurant information on Yelp, all using Python. Along the way, we'll learn to acquire data and organize our data with Python in general.

Saturday, May 4, 4-6: Making Predictions with Data Science

At the end of this class, you'll be able to predict how much money a customer will spend at a business or donate to a non-profit. Along the way, we'll learn how to predict future outcomes, and to interpret the causes of past outcomes (using regression) more broadly.

Saturday, May 11, 4-6: The Data Science Process

At the end this class, you'll learn how how to craft an argument with your data and explain findings to others. Along the way, we'll learn how data scientists double check their predictions, as well as use data storytelling and data visualization techniques.

Jeff Katz has taught and developed curricula in data science and web development. He has taught over 250 students to code, with students going on to work at companies such as Microsoft, LinkedIn and BlackRock. Previously, he developed child welfare software as a developer for Case Commons.