Here is what some of the RDS@GSU Data Certificate awardees had to say about the experience:
The certificate is a great opportunity to become a more competitive candidate while applying for a job. The workshops were very interactive.
I thought the RDS@ GSU Data Certification incentivized my participation in the RDS workshops. The workshops themselves were great and it definitely helped me brush up on prior skills and knowledge.
Certification looks amazing on resumes, I also found what was covered useful to my practice of SAS & SPSS.
It is essential for me as a student majoring in Epidemiology. I will be involved in research, and the only way to answer some of the world’s health problems is making sense out of data. I’m confident this certificate will prove useful for me in getting a job. The entire program is flexible, and the materials are very helpful in understanding the course content.
Direct questions to the RDS Team Leader, Dr. Mandy Swygart-Hobaugh (firstname.lastname@example.org).
Data skills -- even just basic data skills -- are highly valued by today's employers -- being called "the most lucrative skill[s] to have" and "the most valuable skill[s] you can learn." By getting RDS@GSU Data Certified, you demonstrate to potential employers that you are committed to growing the data skills that they look for in hires.
Best of all, our data workshops are all free.
You may be thinking, "So what if they're free?" Well, we researched how much workshops on our various topics would cost out in the real-world market, and what we found may make you re-think that "so what" reaction:
In other words, our free workshops are clearly quite a bargain and something you should be taking advantage of while you can...
– See sample language below and adapt as you see fit:
Research Data Services @ Georgia State University (RDS@GSU) Data Certification: Completed workshops on data analysis tools (SPSS, 3 hours; SAS, 3 hours; Stata, 4.5 hours; NVivo, 3 hours), data analysis methods (Survey Design, 3 hours; Mixed Methods, 2 hours; Networks, 3 hours; Logics & Logistics of Qualitative Methods, 1.5 hours), data visualization (Tableau, 3 hours; GIS, 4 hours), and finding data (ICPSR, 1 hour; Marketing Data, 1.5 hours).
– Learn more at collegetocareer.gsu.edu