5
Classes
15
Credit Hours
$6.9K
Estimated TX Resident Tuition & Fees
Aug 18
Next Start Date

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Training in data analytics is becoming increasingly important for advancement in nearly any career. The University of North Texas is pleased to offer career-enhancing certificates in data analytics to UNT students and employees of corporate and public organizations. Courses making up the certificate provide an understanding of the underlying fundamental concepts of contemporary data analytics methods, as well as experience in obtaining, wrangling and learning from big data through machine learning and deep learning tools. Courses emphasize applications of theory and tools for solving real-world business problems.

The graduate certificate provides 15 hours of graduate course credit that can be applied to a graduate degree. In particular, completion of the Graduate Certificate in Data Analytics would place a graduate half-way towards completing the UNT MS in Advanced Data Analytics.

 

Apply for Data Analytics Graduate Academic Certificate

Courses

ADTA 5130 - Data Analytics I

Provides an overview of quantitative methods essential for analyzing data, with an emphasis on business and industry applications. Standard and open source statistical packages are used to apply techniques to real-world problems.

ADTA 5230 - Data Analytics II

Course extends the concepts developed in ADTA 5130 Data Analytics 1 to multivariate and unstructured data analysis. Modern techniques of multivariate analysis, including association rules, classification methods, time series, text analysis and machine learning methods are explored and implemented with real-world business and industry data. Course provides hands-on introduction to state-of-practice technology and tools. The focus of the course is on the application and interpretation of the methods discussed.

ADTA 5240 - Harvesting, Storing and Retrieving Data

Provides an introduction to collecting, storing, managing, retrieving and processing datasets. Techniques for large and small datasets are considered, as both are needed in data science applications. Emphasizes applications and includes many hands-on projects.

ADTA 5250 - Large Data Visualization

Presents strategies and methods for effective visualization and communication of large data sets. Standard and open source data visualization packages are used to develop presentations that convey findings, answer business questions, drive decisions and provide persuasive evidence supported by data.

ADTA 5340 - Discovery and Learning with Big Data

This course covers the latest methods for discovery and learning from large data sets. Topics complemented by hands-on projects using data discovery and statistical learning software.