Data Analytics Certificate
Columbus State’s 35-week Data Analytics Workforce Certificate begins with essentials
in computer science, followed by coursework with a specific focus on data analytics
in relevant business scenarios. This program will equip existing employees with practical,
foundation-level skills in data analytics through a hands-on approach.
The program is designed as a cohort with courses offered in sequence as a cohort model. All courses meet virtually in a Live Online format on Thursday evenings from 6:00 – 8:30 PM. Class sessions are held via Zoom and are recorded. Study sessions or office hours will be posted for all courses and held via Zoom.
We are currently working on program dates for Spring 2025.
WIIT-7750: Applied Statistics | $685 |
WIIT-7730: Database & SQL | $685 |
WIIT-7740: Python Fundamentals | $745 |
WIIT-7110: Applied Data Analytics | $685 |
WIIT-7190: Data Analytics Capstone | $360 |
Tuition for each course is billed separately.
Next Steps:
- Review specific program details.
- Review our most Frequently Asked Questions about time commitments, program requirements, and financial assistance.
- Follow the Instant Enrollment Guide for registration instructions.
- For additional questions or assistance with registration, email: acceleratedtraining@cscc.edu
or contact the Non-Credit Registration Office at
614-287-5858.
Course Descriptions
This course introduces concepts of probability and statistics including data types, graphs of qualitative and quantitative data, numerical summaries of data, concepts from probability, calculating probabilities of simple and compound events, and discrete random variables including binomial random variables.
In addition, students will work with continuous distributions, including the normal distribution, sampling distributions, confidence intervals, hypothesis tests, two-sample problems, and regression models. An emphasis will be placed on using statistical software when analyzing data through simulation, and then correlating results with the established methods, such as formulas and tables, as well as an interpretation of results.
This course introduces the student to the fundamental concepts and techniques of relational database technology, structured query language, database design, and database management. Students perform hands-on labs with commercial software and databases based on real-world scenarios.
Students learn Python syntax and fundamental concepts such as functions, exception handling, and Python data types. Students write their own programs, learn conditional logic, loops, and sequences, and apply what they've learned in hands-on lab activities. This course provides students with an overview of fundamental programming concepts and Python programming skills in OpenEDG Python Institute’s Certified Entry-Level Python Programmer (PCEP) exam. The course includes a voucher for the PCEP exam.
This course will expose students to a typical analytics process from preparing project requirements to presenting project findings in verbal, written, and visual form. To achieve this, students will use a combination of tools, including Python and Tableau, to collect data, clean data, explore and analyze data, build data models, and prepare data visualizations.
The Data Analytics Capstone is the culminating course where students will apply the knowledge and skills gained through the data analytics certificate program to real-world problems in the work environment. The course is based on a data analytics challenge which students evaluate and prepare a presentation with their analysis. The goal of the capstone is to give students the opportunity to make meaningful connections between their learning and the workplace.
These programs are offered as non-credit training programs. They build job-ready skills but do not grant college credit.