If you exceed your 6 late days, 1 point will be deducted for late days after that. Accommodations for students with disabilities Students needing academic adjustments or accommodations because of a documented disability must present their Faculty Letter from the Accessible Education Office AEO and speak with Kevin by the end of the third week of the term: We will have in class quizzes to assess your understanding of the material and to help us identify gaps. For private matters send an email to the Helpline: The homeworks are only available for registered students in the course. For dates see the Course Calendar. Second request” within 3 days of receiving the initial response.
Answered Sep 23, To add some comments, click the “Edit” link at the top. For private matters send an email to the Helpline: Mon and Wed 1: Labs will also be videotaped only for distant students. As you noticed, the and notebooks are available. As someone who already had a background in python, I didn’t feel I learned as much.
The latest material for Spring can be found at https: We take great care in making sure all homework are graded properly.
Is CS still worth taking after CS? Successful completion of this assignment will show that this course is suitable for you. How deep does your stats knowledge need to be to understand this?
I recommend watching the lecture videos and solving the homeworks. Your final score for the course will be computed using the following weights: Course Policies Getting Help For questions about homework, course content, package installation, JupyterHub, and harvqrd you have tried to troubleshoot yourselves, the process to get help is: To add some comments, click the “Edit” link at the top.
Each module will integrate the five key facets of an investigation using data: Labs Attendance to labs is optional but strongly encouraged. Is there an online version of CS?
Syllabus for COMPSCI A: Data Science 1: Introduction to Data Science
You dismissed this vs109. I imagine it worked well for managing the homeworks Mon and Wed 1: For questions about homework, course content, package installation, JupyterHub, and after you have tried to troubleshoot yourselves, the process to get help is: All discussions will remain confidential. First semester course only so it’s now two semesters? Course Logistics Prerequisites You are expected to have programming experience at the level of CS 50 or above, and statistics knowledge at the level of Stat or above Stat recommended.
You should plan to attend one of the two. Sections Lectures and harvaed are supplemented by 1 hour sections led by teaching fellows.
How well do you score on the GRE? Course Components Lectures The class consists of homewlrk weekly lectures and one lab, which is designed as a class activity. Students were able to get access to that organization by signing up with their Harvard emails. Lectures will be recorded and made available real time for DCE cd109 and 24 hours later for in-campus students via Canvas. No homework will be submitted more than 48 hours late.
Welcome to CS109: Data Science
Lectures and labs are supplemented by 1 hour sections led by teaching fellows. I haven’t looked at the homeworks closely 0215 I was on sabbatical last year, but I think they are also public and would also provide very useful additional practice.
Late minutes count as a whole day, e.
Assignments There will be an initial self-assessment homework called HW0 and 8 more graded homework assignments. Thanks for your positive feedback on the course! More details to come in November. While, again, that would totally be useful to someone learning basic scientific python, you don’t get a good understanding of the statistics. Late Day Policy You are allowed up to 6 days of late homework submissions, maximum of 2 days on any single assignment, no questions hoomework. How do I access the problem sets from Harvard CS?
Unfortunately, it cuts out people like you and I that don’t happen to actually be part of the class.
If you took the class, you definitely had to get used to coding in python, and getting used to manipulating data in python.