Data Science

Recognize essential data science techniques, such as data visualization and data wrangling.

Program Highlights

Engage and grasp the basics of Data Analysis

Gain exposure to different career paths in the field (i.e, data scientist, data analyst, and data engineer) through guest speakers

Advance skills through case-studies and final group project to elaborate findings

Gain experience in studying data science

Previous coding and programming expreience required

Residential Tuition:
$5,498

Commuter Tuition:
$3,198

Atlanta, GA
Atlanta, GA

Course Overview

Did you know that data scientists have the highest-paying jobs for students graduating with a bachelor’s degree in the United States? With the booming influence of data, more data-related job roles and opportunities are available than ever before. From improving decision making processes to releasing innovations, data has become essential to the success of every industry.

In this students will recognize essential data science techniques, such as data visualization and data wrangling. Students will also have an opportunity to explore modern machine learning methodologies and algorithms to build predictive models. According to the Bureau of Labor statistics, this is one of the fastest growing fields in the nation, employment is projected to grow 36% from now through 2031!

Meet your instructor

Dr. Karan Uppal

Data Science Georgia Tech

Dr. Uppal received his BS in Biomedical Engineering from University of Iowa in 2007, MS in Bioinformatics from Georgia Institute of Technology in 2009, and Ph.D. in Bioinformatics with a minor in Predictive Analytics from Georgia Institute of Technology in 2015.

Learn more

Topics you'll explore

Course Structure

There are nine 3-hour class sessions over the two-week course. During week one, students have class from 9am-12pm, Monday - Friday. During the week two students have class from 9am-12pm Monday through Thursday. Wednesday afternoons are dedicated to additional academic time (excursions, speakers).