---
title: Applied Data Science
date: 2026-08-14T09:36:00-04:00
author: Wesley Steverson
canonical_url: "https://freecampus.usg.edu/courses/applied-data-science"
section: Courses
---
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# Applied Data Science

Badge of Practice

Badge of Expertise

![](https://stfreecamppeus1.blob.core.windows.net/craftcms/general/applied-data-science-image.jpg)

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## Course Description

This course goes beyond the introductory data science basics to teach students how to analyze, interpret, and communicate data insights in real-world contexts. Students will explore uncertainty, variability, correlation vs. causation, and bias while developing the ability to draw evidence-based conclusions. Emphasis is placed on translating analytical results into actionable executive summaries and understanding ethical, legal, and AI-related considerations in data practice.

## Learning Outcomes

- Apply appropriate descriptive and inferential methods to summarize data and identify associations and relationships.
- Use appropriate tools and technology to collect, process, transform, summarize, and visualize data.
- Be able to draw accurate and useful conclusions from a data analysis.
- Effectively communicate methods and findings in a variety of modes.
- Identify goals and methods of testing hypotheses.
- Explain the bootstrap methods.
- Mine data to develop predictive models and evaluation.

## Instructor

- Professor, Department of Mathematics and Statistics
    
    Dr. John Trimboli, Ph.D.
    
    
    
    
    - Middle Georgia State University
    
    Teaching:
    
    Fall

Not offered for fall

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Duration

### 16 weeks

Instruction Method

### Self-paced

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