psyc 500: Data Science

Intermediate Stats for Psychological Research

Class overview

Data science is an emerging interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. To address the current needs for scientific approach to data, PSYC 500 Intermediate Statistics for Psychological Research takes a data science perspective. This course offers a data science toolbox including computational and statistical thinking, mathematical foundations, model building and software foundation, data curation, and knowledge transference, as well as a hands-on introduction to Python.

Course objetives

At the conclusion of the course, you will be able to:

  1. Know the basic concepts and have skills of data science

      • Curate data from multiple sources and identify relevant questions

      • Understand data and organize information

      • Visualize and communicate data

      • Identify and apply statistical methods

      • Build and evaluate models

      • Translate results into solutions, and communicate findings in a way that positively affects policy or organizational decisions.

  2. Become familiar with the programming language of Python

  3. Build effective data science teams