Emily Malcolm-White

Pretty easy course that still teaches students a ton about the fundamentals of data science. It was super interesting and novel to me even as a person who has done a lot of computer science in high school. I had professor winder, who is new at middlebury. While the format of class was a bit boring and lecture/activity oriented, she adjusted well by the end and created a fun environment.

Pretty easy course that still teaches students a ton about the fundamentals of data science. It was super interesting and novel to me even as a person who has done a lot of computer science in high school. I had professor winder, who is new at middlebury. While the format of class was a bit boring and lecture/activity oriented, she a …Read more

This introductory data science course provides a strong foundation in key concepts such as data manipulation, visualization, and basic statistical modeling. Throughout the course, I gained hands-on experience with tools like R and Python, learning how to clean, analyze, and interpret datasets effectively. The structured assignments and projects helped reinforce important skills, particularly in data wrangling and visualization, which are essential for real-world applications. One of the most valuable aspects of the course is the emphasis on problem-solving and critical thinking. Rather than just focusing on coding, the course encourages students to understand the logic behind data analysis, making it accessible even for those without prior programming experience. The collaborative environment, including discussions and group work, also enhances the learning experience. For prospective students, I recommend engaging with the course materials early and practicing coding regularly. While some concepts, such as statistical inference and data cleaning, may seem challenging at first, consistent practice will make them more intuitive. Additionally, leveraging online resources and working on small personal projects can deepen your understanding. Overall, this course provides a great entry point into data science, equipping students with essential skills for future studies or careers in data analytics.

This introductory data science course provides a strong foundation in key concepts such as data manipulation, visualization, and basic statistical modeling. Throughout the course, I gained hands-on experience with tools like R and Python, learning how to clean, analyze, and interpret datasets effectively. The structured assignments a …Read more

EMW is a great professor and really helps her students understand the material. Her office hours are very helpful and her class is paced very nicely. Having need to taken this as a pre-med requirement, I feel as if I have learned lots of useful information. This class was great!