Tuition Fee
USD 6,995
Per course
Start Date
2026-12-16
Medium of studying
Fully Online
Duration
10 weeks
Details
Program Details
Degree
Courses
Major
Data Analysis | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 6,995
Intakes
| Program start date | Application deadline |
| 2025-12-16 | - |
| 2026-12-16 | - |
| 2027-12-16 | - |
About Program
Program Overview
University of Oklahoma Outreach Data Analytics Bootcamp
The University of Oklahoma Outreach Data Analytics Bootcamp is designed for students to pursue high-quality tech education while continuing to balance other commitments. Our part-time and full-time program options provide the flexibility to fit career development into your life.
Program Overview
- The bootcamp is powered by Fullstack Academy, a top-ranked immersive school for tech training.
- The program focuses on generative AI, equipping students with AI-driven techniques for data processing, visualization, and decision-making.
- Students will learn advanced features and formulas in Microsoft Excel, create presentations using data storytelling techniques and visualizations, and design, learn, and apply SQL for database definition and manipulation.
Curriculum
- The curriculum teaches practical and technical skills using real-world scenarios, the latest technology, and hands-on projects.
- Students will learn:
- Business Analytics with Excel
- SQL: Data Acquisition and Manipulation
- ETL (Extract, Transform, Load) Data Processes
- Data Visualization Using Tableau
- Fundamentals of Python Programming
- Data Analytics with Python
- Essentials of Generative AI
- Applications of Generative AI in Data Analytics
- Ethics in Data Analytics
Career Support
- Students will gain valuable insight into how to build a successful career in data analytics from day one of the course.
- The career success team will provide workshops, one-on-one office hours, and phone chats before big interviews.
- Alumni will have access to a job board and be connected with companies and organizations in the Employer Partner Network that are actively seeking qualified candidates.
Admission Criteria
- To be eligible for the program, students must be at least 18 years old and a high school grad/GED holder by the start date of their intended cohort.
- No prior experience is required to apply, be accepted, or succeed in the program.
Tuition Fees
- The tuition fee for the bootcamp is $9,995.
- Students can pay upfront and save $3,000 on tuition, or pay in installments and save $2,000 on tuition.
- Students can also pay with a loan through an external lending provider and save $1,000 on tuition.
Job Opportunities
- Data analysts are in demand in Oklahoma and beyond, and the field has many lucrative career pathways.
- Companies and organizations of all industries are seeking individuals with data skills to fill roles, including:
- Data Analyst
- Insights Analyst
- Data Analytics Consultant
- Data Modeler
- Entry-level data analysts in Oklahoma earn an average yearly salary of $71,953.
Certification
- Students will be prepared for certification in Tableau, a widely used tool for data visualization and business intelligence.
- The Tableau Desktop Specialist Certification is essential for success as a data analyst.
Capstone Project
- Throughout the bootcamp, students will strengthen their data skills with hands-on workshops and projects, including a final capstone project.
- The capstone project will form the basis of their professional portfolio, which they can use to show employers following graduation.
Tools and Technologies
- Students will use industry-standard digital tools to build practical, hands-on data analytics skills, including:
- Microsoft Excel
- Python
- NumPy
- Matplotlib
- Google Gemini
- Claude AI
- Uizard
- Pandas
Program Schedule
- The part-time program is held weekly on Tuesday and Thursday from 7:00pm-10:00pm CT.
- The full-time program is held Monday-Friday from 9am-4pm CT.
- Students can expect to spend 6-8 hours studying and working on outside assignments each week.
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