| Mike Nemke | I went through the K2 Data Science program in spurts and I loved it.
Who was I going in:
Had a degree in Econ and had taken a handful of computer science courses in college.
- I had the baseline for applied statistics, calc, linear algebra, and basic coding
I had just started building a startup.
- My time availability was sporadic and limited. I needed incredible flexibility not provided by in-person programs or grad school programs. I also needed the program to be modular so I didn’t have to start over whenever I had to divert my attention from the course.
- My funds were largely allocated to paying my bills and pushing the startup forward. I needed a reasonably priced option.
I knew that I wanted to understand Machine Learning and apply it to business in the future.
- I wanted a course that took deep enough dives and provided practical applications for me to really understand the 5W’s of the real world application of the techniques.
Who I was coming out:
I had paying gigs as a Data Strategy Consultant while still in the program. I then started my own consulting firm working with Enterprise & Startup clients to demonstrate how to leverage ML in different verticals. That’s now my full-time job and passion.
Not bad for a bootcamp...
More Info:
If you’re interested in learning Data Science with project-based learning and excellent mentorship, but need flexibility, K2 is for you.
If you’re not sure where to start, go to their free foundations program and reach out to the course managers.
Foundations: https://github.com/k2datascience/ds-foundations
Course Manager: ty@k2datascience.com
If you want to reach out and ask me questions: https://www.linkedin.com/in/mikenemke/ |