Carleton Smith is a proud machine learning nerd. Before completing his Predictive Analytics degree from DePaul University, Carleton drifted from one unsatisfying sales job to another within the insurance and technology industries. Since discovering his passion for machine learning, Carleton has worked as a Data Analyst for the fintech firm, Envestnet, and as a Visual Informatics Researcher at DePaul University. Carleton is an avid Indiana University basketball fan (Go Hoosiers!) and enjoys running, morning coffee, and spending time with his 7 year old puppy.
Data Science Immersive
Make smarter decisions by gaining the data analytics, data modeling, programming and statistics skills you need to start a career in data.
Crunching The Numbers: How To Launch a Career in Data
From dating apps, to sports stats, to disaster response--data rules the world we live in. Join leading minds in data for a conversation on building a career in data.
Introduction to Python Bootcamp
Learn to use Python as a powerful tool for analyzing and exploring data.
Intro to Data Analytics
In this hands-on introductory workshop, you’ll learn to ask the right questions of your data, while learning basic analytic functionality in Google Sheets.
Intro to Data Science
This workshop will define what data science is, review some of the main tools used by data scientists today, and discuss how they can be implemented in real world work.
Hiring & Building Data Science Teams
In this expert panel of data scientists, you'll see the problems through their eyes, and indeed see how even recruitment itself can be optimised using data science techniques.
Talk Data to Me
This monthly speaker series brings together industry experts to discuss how data is changing the way businesses run and people live.