Emily Malcolm-White

Introduction to Data Science is an excellent entry point for anyone curious about how data shapes our world. The course provides a clear, well-structured overview of key concepts such as data collection, cleaning, visualization, and basic statistical analysis. It balances theory with hands-on practice, helping learners build confidence using tools like Python and pandas. The instructor explains complex ideas in an accessible, engaging way, making it suitable for beginners with little technical background. By the end, students gain a solid understanding of how to interpret data and draw meaningful insights, making this an invaluable foundation for further study or career growth.

Introduction to Data Science is an excellent entry point for anyone curious about how data shapes our world. The course provides a clear, well-structured overview of key concepts such as data collection, cleaning, visualization, and basic statistical analysis. It balances theory with hands-on practice, helping learners build confiden …Read more

The concepts were explained really well. It was a very chill fast paced course, but we went over relatively simple concepts. The course is definitely easy if you have some stats background in high school etc.

I learned so much this semester. Super chill class, half lecture half homework. The homework is usually really short and can be finished in that second half of class. Professor Emily is really knowledgeable and answers questions during that time too. I really enjoyed this class and learned a lot.