At A Glance
Open To
Adult students (17 and older high school students allowed with prerequisites)Campus
VirtualTotal Hours Required
266Length
Approximately 8 months
Times
6 p.m. to 9 p.m. via Zoom, Day TBD
Data Analytics
A Certificate of Training demonstrates you have proven the necessary skills to succeed as a data analyst. Classes will be instructor-led but held virtually for three hours one night a week. There will be some weeks that the class does not meet.
The first session will be an orientation. Students in this course should have Excel knowledge to the extent they are comfortable working with PivotTables before enrolling.
Some of the topics covered in this course will be:
- Data Science & Analytics Concepts (DSBiz cert)
- Data Analysis and Visualization with Excel (DAVE)
- Power BI
- Data Modeling
- SQL Querying
- Git for Portfolios
- Data Wrangling with Python
There will also be a Capstone Project to be completed by the end of the course. Students are expected to meet assignment deadlines and attend ALL virtual class sessions. The sessions will not be recorded.
Courses
You will spend a total of 94.5 hours "in class" completing work required for this course. It is also estimated that you will spend a remaining 171.5 hours doing required work outside of class time; however, this may vary by student.
- In-Class Work 94.5
- Estimated Out-of-Class Work 171.5
Tuition & Costs
Costs for In-State Adult Students
Licensure / Certifications
- Data Analyst Certificate of Training
Tuition & Fees
- $585.20
Textbooks, Supplies, and Certifications (Estimated)
- Textbook - $45
Total Estimated Costs for In-State Adult Students
$630
The refund policy for this class differs from that of other career training programs. Students will qualify for a full refund IF they withdraw within 48 hours of the orientation class (which is scheduled for class day 1). If students withdraw after 48 hours past the orientation class, they will be responsible for paying 100% of the tuition.
Employment & Outcomes
Employment Opportunities
Graduates of this program are qualified to work for:
These skills apply in many different workplaces and industry settings. Logistics, manufacturing, human resources, energy, aerospace, and warehousing are just a few areas where data analytics is a primary task.
