Applied Data Science MIT
I thought I was jumping into the deep end when I applied for the MIT ADSP program. I knew I wanted to learn more about Machine Learning, and I already had some Research and Data experience under my belt from my time at The University of Texas at Austin. So I took the plunge. I found that I love it! I already knew some coding languages, and learning Python was easy and supported by the pre-work courses. Once we dove in, we were provided with many pre-session resources, which made the MIT professor-led presentations familiar and easy to grasp. I do not come from a Mathematics background, and the math presented was easy to understand and supported by explanations and images as well as some of the other provided resources. During and after sessions, we were provided with opportunities to ask clarifying questions, and the following weekend mentor session gave more opportunities to do this. I do not know if everyone would call this "fun", but I found it to be. I learned a lot about myself and gained confidence in the areas of Mathematical expressions and the Mathematical thinking I already have. Now that we have finished, I am excited to revisit the courses and dig even deeper into the information and learning provided. I now have some Case Study and Machine Learning Model examples under my belt and can move forward creating more proof of my knowledge gained through the MIT ADSP curricula. I wish there were more connections to job opportunities or even planned informal discussion times NOT focused on the sessions but more on connecting to each other and discussing future opportunities as well as the experiences of those already in the field.