Statistical Data Science: Computing

Issued by Virginia Commonwealth University

Earners are proficient in using computational tools and programming for statistical analysis. They can manipulate large datasets, conduct statistical analyses using software like R or Python, and visualize data effectively, equipping them for data-driven problem-solving in diverse fields.

Type Validation
Level Intermediate
Time Years

Additional Details

Skills

Algorithms
Computational Methods
Data Cleaning
Data Visualization
Machine Learning Basics
Programming (R/Python)
Statistical Modeling
Statistical Software

Earning Criteria

Statistical Data Science: Foundations
Successfully complete STAT 321 Introduction to Statistical Computing for Data Science (3 cr).