Data Analytics Certificate

* Milestone Courses should be taken in the order shown. This will help you stay on track and graduate on time.

Semester 1

CIT-113 Information Technology Problem Solving Credits: 3 *
or
CIT-110 Applications/Concepts Credits: 3
or
CSC-120 Intro to Comp Sci & Object Oriented Prog Credits: 4
MAT-181 Statistics I Credits: 3 *

Total Credits: 6

Semester 2

CSC-236 SQL Programming Credits: 3 *
CIT-137 Intro to Big Data with R & R-Studio Credits: 4 *
CIT-234 Decision Support Using MS Excel Credits: 3 *
CIT-268 Operating Systems Credits: 3 *

Total Credits: 13

Semester 3

CSC-125 Python Programming Credits: 3 *
CIT-187 Data Analytics and Predictive Analysis Credits: 3 *
CSC-240 Database Programming Credits: 3 *

Total Credits: 9

Upon Completion of This Concentration Graduates Will Be Able To:

Design and code complex queries in SQL and PSQL
Demonstrate the use of procedures, cursors, triggers, collections, and manipulation of tables
Utilize existing databases, and convert the data into analyzable formats in R and Python
Demonstrate the use of Pandas and scikit-learn libraries in Python
Design basic algorithms associated with machine learning such as CART and Regression in R

Career Outlook

Students who complete this program will be prepared for internships and entry-level data analysis positions in a wide variety of companies and organizations.