Information Technology
Big Data Analytics
Computer Literacy plus Data Analytics for Business, Big Data fundamentals, Python Programming, Business Analytics for Decision Making, and Big Data Modeling and Management Systems.
180 clock hours BPPE Approved 05/10/2022 100% Online
All Programs
Program Objectives
- Demonstrate understanding of Big Data Analytics fundamentals.
- Demonstrate knowledge of Data Analytics for Business.
- Demonstrate understanding of basic Big Data principles.
- Apply Python Programming Language to Big Data tasks.
- Demonstrate understanding of Business Analytics for Decision Making.
- Apply Big Data Modeling and Management Systems.
Course Outline
6 required courses · 180 total clock hours · taken in the sequence shown
Official 2026 course outline (PDF)| Seq. | Course No. | Course Title | Clock Hours |
|---|---|---|---|
| 1 | CS 100 | Computer Literacy | 30 |
| 2 | BDA 101 | Introduction to Data Analytics for Business | 30 |
| 3 | BDA 104 | Introduction to Big Data | 30 |
| 4 | BDA 110 | Python Programming Language | 30 |
| 5 | BDA 103 | Business Analytics for Decision Making | 30 |
| 6 | BDA 105 | Big Data Modeling and Management Systems | 30 |
| Total Program Length | 180 | ||
All programs are non-degree, non-credit certificate programs measured in clock hours rather than semester credits.
- 30 hrs
Course 1 · CS 100
Computer Literacy
- Computing foundations
- Productivity tools
- 30 hrs
Course 2 · BDA 101
Introduction to Data Analytics for Business
- Data-driven decisions
- Analytics workflow
- Reporting
- 30 hrs
Course 3 · BDA 104
Introduction to Big Data
- Big data concepts
- Data sources
- Storage
- 30 hrs
Course 4 · BDA 110
Python Programming Language
- Python syntax
- Data structures
- Libraries
- 30 hrs
Course 5 · BDA 103
Business Analytics for Decision Making
- Descriptive analytics
- Predictive basics
- Business KPIs
- 30 hrs
Course 6 · BDA 105
Big Data Modeling and Management Systems
- Data modeling
- Database management
- Big data tooling
Learning Outcomes
- Write Python scripts to process and analyze large datasets.
- Build dashboards that support business decisions.
- Apply data modeling techniques to real datasets.
Take the next step toward Big Data Analytics
Start your application or speak with our admissions team about enrollment, scheduling, and tuition.
