How DataCore Analytics Keeps Data Confidential
12 May 2026
Your data is fine. Nobody in your department can help you analyse it. That is not a reflection on you, and it is fixable.
This is the single most common situation we see: a student with a good dataset, a supervisor whose expertise is wet-lab, and a deadline. Months disappear into tutorials that do not quite match the data in front of you.
We work with students directly, at reduced rates, and our scholarship programme covers a number of projects each year at no cost at all. The goal is that you finish able to run the analysis yourself — not dependent on us.
Common, and not a criticism. Wet-lab expertise and computational expertise rarely sit in the same person.
Student grants almost never include consultancy. Our scholarship programme exists precisely for this.
Generic walkthroughs break the moment your design has a batch effect, a paired structure or an unbalanced group.
Analysis is the step that slips, and it slips at the worst possible time.
Tell us where you are stuck. We answer student questions whether or not there is a project attached.
