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Tyson Roberts
AD
Based on 128 Users
I struggled with statistics in high school, so I came into this course afraid of how challenging the material would be for me, especially with the focus on R which I had never done before. However, Professor Roberts made it clear from the first day that he wanted us to do well in this course. He drops our lowest quiz grade, provides extra credit opportunities, and completes our coding notebook assignments in tandem with us during class which helps me to understand better. We had four quizzes in this course, one online due to the evacuation and fires and three in-person which consisted of a 10 question multiple choice portion about statistical concepts and a Jupyter notebook which focused on applying the R functions we have learned. I have done well on all the quizzes, and as long as you complete the homework, are engaged in lecture and compete the Jupyter notebooks, you will have no trouble scoring well on exams. My only critique is that lectures often ran long, but only about 5-10 minutes over. This was only because Professor Roberts explains concepts in lecture in great depth to ensure we have a solid understanding, and that can lead us to take a bit longer on the Jupyter notebooks. Overall, this course made me more interested in statistics and data science and confident in my use of R which will serve me well in the future.
I struggled with statistics in high school, so I came into this course afraid of how challenging the material would be for me, especially with the focus on R which I had never done before. However, Professor Roberts made it clear from the first day that he wanted us to do well in this course. He drops our lowest quiz grade, provides extra credit opportunities, and completes our coding notebook assignments in tandem with us during class which helps me to understand better. We had four quizzes in this course, one online due to the evacuation and fires and three in-person which consisted of a 10 question multiple choice portion about statistical concepts and a Jupyter notebook which focused on applying the R functions we have learned. I have done well on all the quizzes, and as long as you complete the homework, are engaged in lecture and compete the Jupyter notebooks, you will have no trouble scoring well on exams. My only critique is that lectures often ran long, but only about 5-10 minutes over. This was only because Professor Roberts explains concepts in lecture in great depth to ensure we have a solid understanding, and that can lead us to take a bit longer on the Jupyter notebooks. Overall, this course made me more interested in statistics and data science and confident in my use of R which will serve me well in the future.