Data 100

Frequently Asked Questions for Spring 2025 Data 100

Table of Contents

  1. Where is the course website?
  2. I need an enrollment code/enrollment is too limited/I’m on the waitlist/etc.
  3. What are the official prerequisites for this course?
  4. Will the official prerequisites be enforced?
  5. I am a graduate student, but the system won’t let me enroll in Data 100 due to missing prerequisites; what can I do?
  6. I am waitlisted. What should I do? What are my chances of getting into this class?
  7. I have a Concurrent Enrollment Request that hasn’t been approved yet. What should I do? What are my chances of getting into this class?
  8. I am a campus student who wants to audit the course. What can I do?
  9. Can the instructors assist me in my enrollment, make an exception for my case, or provide me with an “enrollment code”?
  10. What aspects of the course will be offered online?
  11. What is the proctoring/accommodation policy for exams?
  12. I require specific accommodations. What should I do?
  13. What is the alternate exam policy?
  14. What is the midterm schedule for this class?
  15. What is the conflict policy for the course?
  16. I have a conflict for the final exam, what can I do?
  17. When will the full schedule of labs and discussions be announced?
  18. Where can I find links to the class schedule, optional textbook, and other relevant resources?
  19. Where is the Class EdStem?
  20. I can’t find any information on bCourses. Why?
  21. I have added the course later in the semester. Can I catch up? Can I be excused for all the late work?
  22. I didn’t turn in a Lab/HW/etc in time because I had X (illness, etc.). Can I have an extension?
  23. I would like to make a class-wide announcement about my project/group/initiative/etc.
  24. I would like to apply for a (u)GSI position for this course. What should I do?
  25. Who do I contact if I have further questions? How do I email the instruction team?

Where is the course website?

TBD. We will update this section at the beginning of the semester.

For reference, the website for Fall 2024 can be found here.

I need an enrollment code/enrollment is too limited/I’m on the waitlist/etc.

The instructors are not able to provide permission codes or any new information about enrollment in Data 100 at this time. Please refer to the Data Science Spring 2025 Courses page and to the Data 001 Ed, which includes all information currently available about enrolling in Spring 2025 classes. If you are not able to find an answer to your question there, please email ds-advising@berkeley.edu.

What are the official prerequisites for this course?

The official list of prerequisites is:

  • Data 8.

  • CS 61A or CS88 or Engineering 7. We strongly recommend either CS 61A or CS 88.

  • Math 54, EECS 16A, Math 56, Math 110, or Stat 89A. This may be satisfied concurrently with Data 100, but we strongly recommend that you finish a linear algebra course before taking Data 100.

As with other enrollment matters, the instructors have no say on this matter, if you have any questions regarding prerequisites, please email ds-advising@berkeley.edu.

Will the official prerequisites be enforced?

The official prerequisites are being strictly enforced by CDSS. Decisions on any requests for exceptions to this policy are being made by the CDSS advisors. To request an exception, see the Data Science Spring 2025 Courses page. Do NOT email instructors about this; we do not make these decisions.

I am a graduate student, but the system won’t let me enroll in Data 100 due to missing prerequisites; what can I do?

Graduate students should use the C200 class code, not C100: C200 has a proper graduate code, so you don’t have undergraduate prerequisite issues. There will be some differences in grading and homework, but the main content is the same.

I am waitlisted. What should I do? What are my chances of getting into this class?

As of November 5, 2024, we are not considering expanding the course. We will update this page if we plan to expand the course. In case we expand the course, it will happen before the first lecture. —

I have a Concurrent Enrollment Request that hasn’t been approved yet. What should I do? What are my chances of getting into this class?

By campus policy, we must first process the entire waitlist before we can admit you. We will do all we can to ensure all waitlisted students are promptly admitted so that you can also enroll in the course, though we cannot provide a 100% guarantee that will be the case. But we strongly suggest you start working on the course, following lectures, and turning in assignments from the start. This will prevent you from falling behind and will give you the best chance of success in the class.

Note that once all CE requests are processed (in the first few weeks of classes), we will remove all temporarily added students who do not end up with permanent enrollment in the course.

See above for how to get added to any other required resources.

I am a campus student who wants to audit the course. What can I do?

Most class materials are available online to all campus students, and you can access the lecture videos, slides, etc., without limit, as well as use the online Data 100 DataHub (our JupyterHub instance for this class).

Note, however, that the class EdStem, our only other class resource, is reserved for enrolled students and faculty auditors, as homework details and solutions are discussed in that environment. Furthermore, we do not add auditors to bCourses, Gradescope, etc., as our limited instructional resources are reserved for officially enrolled students.

Can the instructors assist me in my enrollment, make an exception for my case, or provide me with an “enrollment code”?

No. There are no exceptions from the instructor’s perspective to the enrollment and time conflict policies stated in this FAQ. If you need assistance with enrollment or think your circumstances warrant exceptional consideration, you must discuss those with an enrollment advisor. They are the only ones authorized to handle such situations and enroll you. See the first question above for more links about enrollment resources.

What aspects of the course will be offered online?

We will offer:

  • Recordings of all lectures are available for online viewing shortly after the lecture is delivered. Note these will not be live hybrid lectures where remote students could participate, only static recordings, available post-lecture.
  • Discussions will be primarily in-person, but we will offer a small number of online discussion sections.
  • There will be no direct lab sessions: Labs will be due on Tuesdays, and a video walk-through of the lab content will be released after the lab is due for you to watch on your own. There will be online help available for labs through office hours and dedicated Ed channels.

What is the proctoring/accommodation policy for exams?

Exams will be in-person and subject to standard proctoring procedures, with appropriate accommodations for DSP students.

I require specific accommodations. What should I do?

All accommodations in this course are handled uniformly through the DSP Office. If you have a letter of accommodation from the DSP office, we have already received it, and we will honor all accommodations listed in your letter. Please see the syllabus for more details on this topic.

What is the alternate exam policy?

There will be no alternate final exam time beyond the standard time assigned by scheduling.

What is the midterm schedule for this class?

The exact midterm exam dates will be announced on the first day of class.

What is the conflict policy for the course?

The basic policy is the following:

  • ENROLLMENT TIME CONFLICTS: This class will NOT allow time conflicts.

  • FINAL EXAM CONFLICTS: This class will NOT accommodate final exam conflicts.

I have a conflict for the final exam, what can I do?

As per the Campus Registrar, the final exam will be held Friday, May 16, 11:30 am - 2:30 pm. The exam will be held in person, not online.

The course does not allow for time conflicts. Additionally, no accommodations will be made for travel.

When will the full schedule of labs and discussions be announced?

Discussion sections and sign-ups will be released within the first two days of class. Discussions will be on Wednesdays from 9 am-5 pm and Thursdays from 9 am-2 pm. There will be no direct lab sessions. See our course policies for more information about labs.

TBD. We will update this section at the beginning of the semester.

Where is the Class EdStem?

TBD. We will update this section at the beginning of the semester.

I can’t find any information on bCourses. Why?

We will only be using bCourses to sync access to Gradescope. As long as you are enrolled in the class right now, you don’t need anything. All class materials are available online through the website; communications happen on EdStem; and computational work is done on the DataHub.

I have added the course later in the semester. Can I catch up? Can I be excused for all the late work?

The answer to the first question is impossible to give in general, as it depends both on how late you add the course and what your own background is. But as a general rule, the course moves quite quickly and covers new ground from the start. We estimate most students will probably struggle to catch up effectively if they join any later than the first few days of the semester unless they have a particularly strong background already in the initial topics (Python and Pandas).

As for the second part of this question (Can I be excused for all late work?), we will not be accommodating extensions beyond our extension policy below (see next question for details).

If you are currently waitlisted/on the fence for adding this course, please see the Enrollment section above.

I didn’t turn in a Lab/HW/etc in time because I had X (illness, etc.). Can I have an extension?

Please contact course staff through the extenuating circumstances form on the course website.

I would like to make a class-wide announcement about my project/group/initiative/etc.

We only allow posts made on EdStem, and you must make it yourself. We do not make posts on your behalf. These are our guidelines for EdStem posts from student groups - they must be text-only posts (no videos) where the announcement:

  1. Has to do with teaching or tutoring in a non-commercial setting,
  2. is directly related to the material in the course, or
  3. is seeking to recruit students to help with the public good in a non-financial way (no solicitations for donations!) and in a context explicitly connected to their work in the course.

I would like to apply for a (u)GSI position for this course. What should I do?

All applications for Academic Student Employee positions are managed centrally; you can find all the details here. Please do not email the instructors individually with your resume/etc, as they are not in a position to hire you.

Who do I contact if I have further questions? How do I email the instruction team?

Please e-mail data100.instructors@berkeley.edu and one of the instructors will get back to you. Note that to ensure more timely responses, this address is monitored by the team of the two lead instructors (Narges Norouzi and Josh Grossman), the Head TAs, and multiple lead GSIs. You can contact Narges and Josh directly for matters that require strict privacy and their direct attention.

We’re excited to have you in the class!

Narges, Josh, and the rest of your Spring 2025 instructional team.