Data Mining Fundamentals
Graduate Badge
Grand Rapids • Face to face • 3 Credits
Graduate Badge
Grand Rapids • Face to face • 3 Credits
The College of Computing's Data Mining Fundamentals Graduate Badge at GVSU is designed to provide specialized knowledge in computational methods for knowledge discovery in bioinformatics and medicine.
While this badge is not a degree or certificate, admission requires completion of a bachelor's degree and evidence of programming skills. The badge covers topics such as dynamic programming , Hidden Markov Models, clustering and discrimination models for microarray analysis , as well as selected data mining software and working with biological databases.
When earning a Graduate Badge in Data Mining Fundamentals at GVSU, you would study computational methods for knowledge discovery in bioinformatics and medicine. Topics include dynamic programming (such as sequence alignment and using the BLAST search engine), Hidden Markov Models (for applications like phylogenetic trees and structure prediction), and clustering and discrimination models for microarray analysis (such as Gene Expression Data). Additionally, you will gain experience with data mining software and working with biological databases.
Earning this badge at GVSU provides essential skills in computational techniques for knowledge discovery in bioinformatics and medicine. This badge helps you gain proficiency in dynamic programming, Hidden Markov Models, and clustering models, making you more marketable to employers. Whether pursued through continuing education or as part of a degree, the badge enhances your education, and can be easily shared on social media, websites, and emails. The flexible, focused, and small class format ensures personalized instruction for maximum learning.
College of Computing
Robert Adams, Ph.D.
C-2-100 Mackinac Hall
(616) 331-2060
[email protected]
gvsu.edu/computing
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 56,783.91 | 10% |
$ 71,611.79 | 25% |
$ 89,959.80 | 50% |
$115,633.25 | 75% |
$140,979.39 | 90% |
Administer, test, and implement computer databases, applying knowledge of database management systems. Coordinate changes to computer databases. Identify, investigate, and resolve database performance issues, database capacity, and database scalability. May plan, coordinate, and implement security measures to safeguard computer databases.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 47,428.03 | 10% |
$ 63,304.67 | 25% |
$ 97,187.68 | 50% |
$119,928.29 | 75% |
$134,854.31 | 90% |
Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 49,889.11 | 10% |
$ 86,009.08 | 25% |
$121,897.69 | 50% |
$135,290.86 | 75% |
$166,762.17 | 90% |
Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 49,889.11 | 10% |
$ 86,009.08 | 25% |
$121,897.69 | 50% |
$135,290.86 | 75% |
$166,762.17 | 90% |