Program Details
Next Start Date: January 8
Credit Hours: 9
Course Length: 8 weeks
Estimated Program Length: 9 months
Develop cutting-edge skills for pursuing data careers or advancing in your current organization with the online Advanced Data Science Graduate Certificate program from the University of West Florida.
Why Study Advanced Data Science at UWF?
UWF's on Advanced Data Science Graduate Certificate will introduce you to machine learning, deep learning and big data analytics as you prepare from innovative roles. With one-on-one guidance from educators, students will learn theoretical and practical concepts for applying machine learning technologies to solve real-world challenges. This fully online program immerses you in machine learning, deep learning and big data concepts, preparing you to unlock new possibilities through data science.
What You Will Learn
The Advanced Data Science Graduate Certificate program goes beyond theory with hands-on projects that enable you to gather and analyze complex data to enhance decision-making. The courses delve into neural networks, data analytics, model evaluation and more, with a practical focus that connects concepts to real-world scenarios.
Designed for business professionals or other professionals who want to develop advanced data science skills and techniques for career advancement and engineers, investors, mathematicians and researchers who use scientific computing or data analytics in their work, you’ll gain valuable experience using Python, Scala and other technologies as you prepare for in-demand roles across the public and private sectors.
UWF offers the Advanced Data Science Graduate Certificate in a convenient online format that lets you continue working while completing the coursework. There are three start dates per year, and you can finish in as little as nine months.
By completing this certificate, you will be able to:
- Gain the practical know-how to apply machine learning and deep learning tools quickly and powerfully to challenging real-world problems via hands-on projects
- Gain practical experience developing popular big data platforms using Python, Java, or Scala
- Make prudent decisions when confronted with data challenges, technologies, trends, infrastructure, and management