IMPACT's Data Science Credential is aligned with industry-endorsed certification exams (e.g., CompTIA Data+) and provides extensive hands-on experience in data profiling, data quality assessments, data visualization, exploratory data analysis, data and web security, geographic information systems (GIS), data literacy, data documentation, data curation, and taxonomic principles
The IMPACT Data Science Credential was developed in collaboration with the Commonwealth of Virginia’s Chief Data Officer’s office and was designed to increase workforce capacity in the areas of data science and other high demand fields such as cybersecurity and geospatial intelligence.
The Data Science Credential will focus on career-readiness with specific, transferrable, and measurable skills to empower learners with career advancing skills.
Make an IMPACT
IMPACT draws upon Radford University's established Information Science program. It employs research-based practices from cognitive science, learning analytics, and scenario-based learning in every aspect of its training to ensure it is challenging, highly effective, and engaging.
IMPACT is ready to support your Data Science training goals and become your Data Science workforce strategic partner.
ALIGNED WITH NATIONAL STANDARDS
Directly aligned with industry-endorsed certification exams (e.g., CompTIA Data+).
ONLINE AND HANDS-ON FOR WORKING PROFESSIONALS
Online and self-paced program with hands-on learning activities for practical training.
MEETS CRITICAL JOB DEMAND
Addresses the growing need for a data science talent pipeline and designed to jumpstart your career.
The content for the Data Science Credential is designed to:
- Meet the growing need for a data science talent pipeline.
- Allow working professionals to earn credits through competencies without requiring any prerequisites beyond a high school diploma.
- Make learners ready to work in the Data Science community immediately upon completion.
Data Science Credential Content
The Data Science Credential consists of five courses:
|Courses & Credits|
CBIT 343 (3 credits)
Data Quality and Visualization
This course covers the basics of data visualization and exploratory data analysis. Using Tableau, a user-friendly data analytics, and visualization tool, we effectively provide step-by-step methods to apply data visualization techniques in quality analysis. Much of what we show you focuses on the visualization approach for practical quality analysis. We do this to explore the data, analyze it, and bring it together using Tableau and other modern methods and tools.
GEOS 125 (3 credits)
Introductions to Geospatial Data and Technology
This course introduces learners to numerous subjects related to geospatial data and technologies used today. From sources and types of geospatial information, geospatial data models, geodesic science, metadata standards, and requirements, we conduct a full review of technologies and science involved in using geospatial data and technology. Participants will learn how to utilize geospatial technology to address social and environmental issues while grasping fundamental knowledge of geospatial organizations that help conform to standards established by the government and civilian organizations.
CBIT 101 (3 credits)
This course provides you with the knowledge and tools necessary to research, identify, minimize, mitigate or eliminate threats that are faced in today's modern connected world. Additionally, it will introduce you to fundamental networking and security concepts like cryptography, operating systems, security models, network hardening, and administrative security.
CBIT 240 (3 credits)
Data and Web Security
This course provides the principles and practices of implementing computer database security, typically utilizing Oracle and standard SQL in modern businesses and industries; to include database auditing, principles, and reliability.
CBIT 243 (3 credits)
This course enhances data literacy and introduces methods and techniques for documenting data, curating data, and organizing information by applying taxonomic principles.
*Although our IMPACT training will help prepare you for professional certification exams, additional preparation may be necessary due to the complexity and proprietary nature of the respective exam content. This is not an academic certificate. Course credit is earned but an academic certificate is not awarded.
IMPACT is aligned with the CBE approach, which focuses on teaching specific job-related skills that are needed to perform a critical task in the workplace. The program will be delivered online in an asynchronous, self-paced manner and will be available at a fixed cost, regardless of the timeframe in which it is completed. Working professionals who successfully complete the program will earn 15 credit hours.
Request more information about the Data Science Credential through IMPACT
Now is the time to take the next step. Whether you are an employer looking to improve employee effectiveness and retention or an individual who wants to start a career in Data Science, IMPACT will take your career to the next level.
Complete this form and an enrollment counselor will contact you soon to answer your questions.