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)Three hours lecture each week. Three credits. Three billable hours.

Pre-requisite(s): MATH 115 ,DATA 101 , and either CIS 105 or CMSC 201

Course Outcomes: Upon successful completion of this course, students will be able to:
1. Acquire data from a variety of sources, including structured and unstructured formats.
2. Clean, transform, and load data into an appropriate computing environment for further analysis and visualization.
3. Generate a variety of data visualizations appropriately aligned with the type of data and message to be communicated.
4. Communicate conclusions of an exploratory data analytics project to an audience of peers.