Aric LaBarr

Dr. Aric LaBarr is an Associate Professor of Analytics at the Institute for Advanced Analytics, where he helps design an innovative program to prepare a modern, data-driven workforce. He teaches courses in predictive modeling, forecasting, simulation, financial analytics, and risk management. Previously, he was Director and Senior Scientist at Elder Research, where he mentored and led a team of data scientists and software engineers.

projects by Aric LaBarr

Time Series Forecasting in Python

5 weeks · 6-10 hours per week · INTERMEDIATE

Forecasting is one of the most useful techniques a data scientist can bring to an organization. By making predictions from complex data, they can guide policy and resource management and allow businesses to plan and prepare for the future.

In this liveProject, you’ll take on the role of a data scientist who’s been tasked with forecasting the future consumption of an energy company’s customers. Energy consumption is seasonal and complex, and so you’ll be using the powerful Python ecosystem to tame your data and make your predictions. Your challenge is to use regression and time series techniques to forecast and visualize hourly energy usage for millions of customers, and present your findings in a clear report to allow your bosses to oversee resource allocation.