Hello! So I am currently stumped. I am a CS student with only the last 8 months being introduced into public health data courses from my uni program. I found deep interest in pursuing public health and data, and am preparing for an interview tomorrow for an internship.
I’m so nervous about bombing this.
Requirements are
- excel for data cleaning and pre-processing or similar tools
- Tableau, Power BI or other visualization tools
- working with databases (SQL)
- R
in general:
How do I explain that I have very little experience with Excel. Am a beginner experience with Tableau and can make storyboards, but I have transferable experience with Python, pandas, Matplotlib, SQL, R, data cleaning, visualization, and analytical thinking in project work?
MY CURRENT experience
- Public health informatics program coursework
- I am proficient in data cleaning with python, pandas and frameworks and preprocessing on large data sets for different ML and modeling projects
Databases and filtering data:
- i am proficient in SQL and have learned/formed an understanding about databases through database design CS course
Data Visualization.
- Tableau I am a beginner familiarization of making story boards, however am not so confident in that respect with multiple project experience (class work)
- I do have project experience w python using Matplotlib, visualizing models + analyzing behavior of simulated networks for different topics like disease spread and media user sentiment, etc.
As for analytics I have very few projects centered around public health analytics, and most of analytical thinking is showcased to be more of beginning/end stage of my CS projects when it comes to understanding the context of problems and solution
How should I briefly relate the process I use for
different projects?
- requirements building and researching the domain
- driving design planning and decisions to address requirements and constraints/questions
- through out the process of testing and refining my projects
- and at the end of my projects analyzing trade offs for design goals, what the results mean, what the design addresses, outcomes of different scenarios, limitations, and future work/development
Sorry this is so scattered!! I have trouble knowing how to articulate and relate my experience to tools I’m not so confident about.