Course reflection 

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When I was doing my undergrad, I was afraid of anything related to statistics. The hardest part of my undergraduate thesis for me was the statistical analysis portion. I had previously used the software R-studio for one of my field biology courses but I did not retain any valuable information. We entered preassigned codes and used the data retrieved to analyze our work. Going into the Data Science course I was terrified to use R. However, this course proved the value of hard work, collaboration and support of my peers. Everyone in the course helped each other to understand lecture material and go over assignment questions. This course helped me value nd recognize the relationships I have made within this program. The classes for this course was combined with another Biochemistry Masters and PhD program. I also worked together with students from this program, further recognizing the power of collaboration, working with diverse teams and the strength of interdisciplinary skills. All of this was recognized through the progress I made on my assignments. For Assignment 1, I received a grade of 80% and in Assignment 2, my mark increased to a 93%. Although I was nervous going into my oral exam, I knew I had done everything I needed to prepare for it. On my Oral exam I was praised by my TA about my proficiency in coding in R. I was surprised, but later realized that the hard work I put along with the help of my peers had helped me understand a topic I had previously found so scary. I can now confidently say that I have some basic understanding of R-studio and I can generate my own codes and analyze them.