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Data Analytics

Autumn Becker, Program Director
Technology 221
301-784-5434
https://www.allegany.edu/data-analytics/

 

Required Data Analytics Courses


Introduction to Data Analytics
Introduction to Machine Learning
Introduction to Data Visualization
Advanced Data Analytics
Python for Data Analytics
Data Warehouse Implementation
Advanced Data Visualization
Data Analysis in the Cloud

Required General Courses


Introduction to Business
Principles of Marketing
Computer Literacy
Python Programming I
Principles of Microeconomics
English Composition I
College Algebra
Probability and Statistics
Ethics
Speech Communication

Required Elective Courses


Please consult with your advisor or the Advising Center staff for selecting appropriate elective courses for graduation.

 

Science Elective  - 3 credits

Social and Behavioral Science Elective - 3 credits

DATA ANALYTICS
TWO-YEAR CAREER PROGRAM
PREPARATION FOR EMPLOYEMNT

 

FIRST SEMESTER Credit Hours
Computer Technology 101 (Computer Literacy) 3
Business Administration 101 (Introduction to Business) 3
English 101 (English Composition I) 3
Mathematics 109 (Probability and Statistics) 3
Data Analytics 101 (Introduction to Data Analytics) 3
Total: 15
 
SECOND SEMESTER
Mathematics 102 (College Algebra) 3
Science Elective 3
Data Analytics 103 (Introduction to Machine Learning) 3
Data Analytics 201 (Advanced Data Analytics) 3
Computer Technology 241 (Python Programming I)1 3
Total: 15
 
THIRD SEMESTER
Business Administration 216 (Principles of Marketing) 3
Social and Behavioral Science Elective 3
Data Analytics 105 (Introduction to Data Visualization) 3
Data Analytics 206 (Python for Data Analytics) 3
Data Analytics 210 (Data Warehouse Implementation) 3
Total: 15
 
FOURTH SEMESTER
Speech 101 (Speech Communication) 3
Philosophy 202 (Ethics)  3
Economics 202 (Principles of Microeconomics) 3
Data Analytics 214 (Advanced Data Visualization) 3
Data Analytics 216 (Data Analysis in the Cloud) 3
Total: 15
Total Credit Hours: 60

 

1 COMP-103 is not a required pre-requisite for students taking COMP-241 (Python Programming) if registered for the Data Analytics Program. Please consult with your advisor or the Advising Center staff for selecting appropriate pre-requisites or elective courses for graduation.

DATA240 (Field Placement) can be used as a substitute for any required 200-level data analytics course in the Data Analytics program.

NOTE: All courses specifically identified by course number are graduation requirements for this program.