Bunker Hill Community College Desktop Version

Bunker Hill Community College Mobile and Tablet Version

Data Analytics Certificate Program

Certificate

The information below applies to students entering the program in fall 2019. Current students - log in to BHCC Self-Service to review the most accurate program requirements for your catalog year, or contact LifeMap/Advising for more information. Prospective students - go to bhcc.edu/admissions and contact an admissions counselor.
Semester 1 Credits Milestone GenEd Note Pre-req
CIT-113 Information Technology Problem Solving
3

Milestone courses should be taken in the order shown.

Prerequisites: ESL-098 or RDG-095 or placement

MAT-181 Statistics
3

Milestone courses should be taken in the order shown.

Prerequisites: MAT-097 or MAT-098 or placement

Total Credits:
Semester 2 Credits Milestone GenEd Note Pre-req
CIT-236 SQL Programming
3

Milestone courses should be taken in the order shown.

Prerequisites: CIT-110 or CIT-113 or CIT-120 or Chair approval

CIT-137 Introduction to Big Data with R and R Studio
4

Milestone courses should be taken in the order shown.

Prerequisites: CIT-110 or CIT-113 or CIT-120 or Chair Approval

CIT-234 Decision Support Using Microsoft Excel
3

Milestone courses should be taken in the order shown.

Prerequisites: CIT-110 or CIT-113 or CIT-120 or Chair approval

CIT-268 Windows Operating Systems
3

Milestone courses should be taken in the order shown.

Prerequisites: CIT-110 or CIT-113 or CIT-120 or Chair approval

Total Credits:
Semester 3 Credits Milestone GenEd Note Pre-req
CIT-125 Python Programming
3

Milestone courses should be taken in the order shown.

Prerequisites: CIT-110 or CIT-113 or CIT-120 or Chair approval

CIT-187 Data Analytics and Predictive Analysis
3

Milestone courses should be taken in the order shown.

Prerequisites: CIT-137 and MAT-181

CIT-240 Database Programming
3

Milestone courses should be taken in the order shown.

Prerequisite: CIT-236

Total Credits:
Last Modified Date: April 22, 2019

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.