DATA 210 - Exploratory Data Analysis

Number of Credits: 3
Extract, Transform, and Load data (ETL) inpreparation for data analytics. Import and clean data from a variety of sources, treat situations with missing data, and convert data between a variety of formats. Communicate findings of a data analytics project to an audience using spreadsheets, databases, visualizations, and other tools. (Spring Term Only) Three hours lecture each week. Three credits. Three billable hours.

Pre-requisite(s): MATH 115 ,DATA 101 , and CIS 105
Course Objectives: Upon successful completion of this course, students will be able to:
1. Acquire data from a variety of sources, including structured and unstructured formats. (PG 1)
2. Clean, transform, and load data into an appropriate computing environment for further analysis and visualization. (PG 1)
3. Generate a variety of data visualizations appropriately aligned with the type of data and message to be communicated. (PG 2, PG 3)
4. Communicate conclusions of an exploratory data analytics project to an audience of peers. (PG 4)