Week 5 of learning data science and visualization

This last week was incredibly busier than the weeks prior. I ended up finishing all of the Kaggle courses I needed to have the appropriate knowledge to start delving deeper into my project with competence. I completed the courses “Intro to Python,” “Python for Data Science,” “Pandas Python Library,” “Data Visualization including Seaborn,” and a bit of the “Intro to Machine Learning.” Going forward, I have great hope and have re-aligned my goals and aspirations. All of a sudden, my career path has been realigned; I am thinking about the future of earning my bachelor’s in biomedical engineering, possibly pursuing graduate school, and having the ultimate goal of starting an engineering startup. All of this has been inspired by the research I’m doing at Rice University. Shortly after this internship ends, I want to pursue learning the JavaScript coding language because that, along with my experience gained with Python, will help me create applications.

I met with Vicky, Sunny, and Avey to discuss progress on the project. My next step is to make 26 histograms to analyze the data and determine an appropriate threshold point to run through code to draw valuable conclusions that allow us to match a specific site on the tissue or a CpG methylated site to identify specific tissue types.

I’m really interested in computer programming, and this internship has been incredibly important in helping me regain my confidence in coding.