How hard is data 100 berkeley. Members Online • Unusual_Piccolo_5083.

How hard is data 100 berkeley Expect to be average though. Ed Datahub Gradescope Lectures Playlist Emergency Accommodations She/Her/Hers. Schedule If you have some programming experience outside of data8 , it shouldn't be too bad. Shit logo When accepted to both and deciding between both, 95. 147K subscribers in the berkeley community. UC Berkeley, Summer 2024. For CS61A, the difficulty is polarized. That means: Zoom links are only available to registered Berkeley students, though we plan to publish lecture recordings within a day of the live session for asynchronous viewing. A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, Take 100A with Stats 20, because 100A is a bit hard but stats is a lot more straightforward AMS 361(calc 4) or AMS 315(Data analysis) A subreddit for the community of UC Berkeley as well as Members Online • Unusual_Piccolo_5083. We strongly recommend either CS 61A or CS 88. would recommend that all non cs/eecs majors avoid cs 61a! yes, data c88c + data c8 is two classes but there’s quite a bit of overlap especially in the coding portion (~first half) of data c8. Office Hours: Tuesdays & A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. the Jump to current week: here. We will not be having lab sections for Data 100/200 this semester. Lab submissions are mandatory for students enrolled in Data 100 and Data 200S. A lot of case studies and reading (readings are not tested in-depth). Share Sort by: Best. Career outcomes have been the same for both cs and DS majors assuming you’re able to take the core SWE classes which is now becoming harder to do due to funding and enrollment. 0 hours of lecture, 2. Seriously how hard is it to raise your hands I took Data 100 before this class. Berkeley Student Cooperative has many vacancies for the first time in years, $800/mo, free food, utilities, The UC Berkeley Data Engineering course covers the principles and practices of managing data at scale, with a focus on use cases in data analysis and machine learning. EE16A is a graduation requirement. Essentially Data 100 + CS189/STAT154 is better than Data 144 + Data 100. Members Online • [deleted data, UCB accepted 24% of freshman applicants into CS in L&S in 2015. Data 100: Principles and Techniques of Data Science. Discussion Sections and Lab Sections will be BOTH IN-PERSON and REMOTE. Other I'm going to get downvoted for this but there are so many things wrong with this course, at least this semester. When accepted to both and deciding between both, 95. however, in order to apply, most colleges want a high gpa in their undergrad (3. edu. any details would be very helpful. I've had to Data 100: Principles and Techniques of Data Science. The argument that this is how math is presented and that other courses later on will be way worse are bad cop-outs The #1 social media platform for MCAT advice. 0 hours of discussion, and 0. These are in development for the Spring 2023 Edition of the UC Berkeley course Data 100: Principles and Techniques of Data Science. 183 votes, 129 comments. Workload-wise 54 is similar to 1B, but compared to 1B where the material is relatively easy but the homeworks/tests are designed to be very difficult to set the curve, math 54 is much more conceptually difficult and can challenge you if you don't have much experience thinking abstractly. If you have a semester to spare, I highly reccomend taking Stat 88 (data 88s), which is the perfect course to take as a primer for data140 (the two have a ton of overlap). You need to be able to get 100% or very close to 100% on all your labs/homework/quizzes in Data 100 usually has really good review slides and TA exam walkthroughs - watching the lectures is lowkey a waste of time compared to reading the slides if you can look over 1-2 old midterms and figure out the topics you’re especially confused about. ) and do a better job of testing your understanding. One could argue that Data 100 is equally useless since everything is data 100 is subsumed by 61a and 189 A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, Not that conceptually hard and assignments are not that long CS61C: This class was so much work. Does anyone have an idea of what the grade bins were like in Spring? comment sorted by Best Top New Controversial Q&A Add a Comment. Anyway, if I had to suggest someone to take Data 8, I would be more than willing to suggest! Students in Data 100 explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction , and decision-making. My personal experience it was easy but I hmm i haven’t taken any of the listed classes you’ve taken (rising junior rn), so i can only speak about what i’ve heard from friends and such. If it is imperative that you learn ML I would choose these classes over Data 144. Arguably too much for Go to berkeley r/berkeley • Data 100 Spring 23 Bins . Ed Datahub Gradescope Lectures Playlist Additional Accommodations Office Hours Queue. 0. it depends for everyone honestly but from what i’ve heard, the gap b/t cc and a lot of UCs is huge. Reply reply More replies. 0+ GPA average in Data 8, Math 54 or equivalent, and CS61B or equivalent, to be eligible to declare (plus you need to complete 1 year of Calc, plus CS61A, and get at least a C- in those classes). i only took 13 units because i didnt want to stress myself since i heard before i took it the workload was p heavy (which it is), and i believe i made the right call. Pretty dang hard. 7, so you need an A/A+ in all classes to have a 4. Local Setup. STAT 140 and CS 70 together is ok, but both are pretty difficult classes to most people, so I would not take any other super difficult classes. Data 200S students will receive separate instructions for exam scheduling. In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction , and decision-making. The #1 social media platform for MCAT advice. Data 100 is a good high-level introduction to a lot of the concepts you learn in 189(gradient descent, regression, classification, loss functions, regularization, etc. true. She/Her/Hers. for swe, you really only need CS 61B and Leetcode to get through interviews. Rather, we’ll provide extensive lab support on Ed and an accompanying video walkthroughs. Data 100 without CS61A . This encompasses the entire life cycle of data management and science, ranging from data preparation to exploration, visualization and analysis, to machine learning and collaboration, with a focus on ensuring Not even half way through the semester and I'm struggling to stay afloat in data 102. Expand user menu Open settings menu Open settings menu UC Berkeley has been leading the charge in making data science accessible by creating courses which allow students from all fields to learn how data science can help and impact their work. DATA 100 + DATA 140 + DATA 104 . My friend learned this the hard way : The major is the most recent addition to Berkeley’s thriving Data Sciences educational program, which continues to experience surging demand. If you're interested in other classes like 161 182 186 189, you're going to have to hope there's an expansion or that people drop, and forget about classes like 160 176 UC Berkeley Data 100 Coursework (Spring 2020). 3) Notes. I have nothing against curved, difficult exams; I actually think they dramatically reduce test-day variance (stupid mistakes, not getting one particular question, etc. The labs are generally fairly straightforward. How much is the Is anyone else having a hard time collecting Hi people, I am looking at going to UC Berkeley this coming fall as a music major, but additionally I also want to minor/maybe even double major in Data Science. i CS 61B/BL (Data Structures) CS 61C (Machine Structures) CS 70 (Discrete Mathematics and Probability Theory) *Math 55 is accepted for math/cs double-majors, but CS 70 is recommended. Optional Supplementary Textbook Semester 2: CS70, CS61C, EE16B, Data 100 / Math 53 (Multivariable, vector calculus) Motivation: Most transfers have programming experience, and may have even taken a data structures course. i know data 8 and stat 140 are not This is going to sound bad but I'm taking 20 units next semester (Data 8, Math 1A, English 90, R5B, CS61A) (sophomore who recently decided on majoring in data science and English). 0 hours of laboratory per week Data 100 helps a little in prepping you for ML classes. You could probably take it, but the class can be somewhat difficult. Formats: Summer: 6. 53% . //calstudentstore. Prepare students for advanced Berkeley courses in data-management , machine learning , and statistics , by providing the necessary foundation and context. Members Online. IEOR 142 is a good option too. watashiwaba How hard will Berkeley be if you’re stupid? (assuming you mean summer since you mentioned online) depends on what your past workload has been and how you've handled it + if you need 70 to declare but it's a hard no from me. 0-6. CS 189 and STAT 154 are considered better classes for ML with STAT 154 being the most well rounded. It will be Fithian/Perez in the fall. How hard is the workload for Data 100, and I would do ok in the class if I've taken Data 8 and Math 54 but not CS61A Some people go into Data 100 without Data 8 knowledge and The college of engineering is too limited by having to provide quality, intensive education in niche fields w/less than 100 people, and L&S is better oriented to offering breadth, such that a college of data could feasibly try to have thousands of students while emphasizing developed online resources and utilizing land around the east bay to Wᴇʟᴄᴏᴍᴇ ᴛᴏ ʀ/SGExᴀᴍs – the largest community on reddit discussing education and student life in Singapore! SGExams is also more than a subreddit - we're a registered nonprofit that organises initiatives supporting students' academics, career guidance, mental health and holistic development, such as webinars and mentorship programmes. Midterm alternate exam : In addition to offering alternate exams for students with DSP or student athletics accommodations, we will offer one alternate exam slot for the midterm exam, time First semester was a hard adjustment for me and only taking upper divs is kinda tough. A- at Cal is a 3. UC Berkeley receives more than Data 140 is the hardest class in the stat department. Data 100 was one of my favorite/ most applicable classes at Berkeley so I would strongly recommend going Data 100: Principles and Techniques of Data Science. Everyone’s a tryhard so everyone is technically your competition. unfortunately i think the designation of 3 units for data c88c is misleading for the You can take really hard classes, but also totally avoid all hard courses in DS if you want. Data100 needed to become more difficult as the data science major grows in size and required course topics become more well defined. Lab submissions are not mandatory for students enrolled in Data I would like to help out prospective stat 134 students. however, part of the reason for their reputation was that one of the created courses, data 100, changed a lot (from being too simple to being too difficult) during its pilots. A deficient grade in DATA C100\\STAT C100\\COMPSCI C100 may be removed by taking DATA 100. Anyway, I'm taking Data 100 next semester. Probability Practice. My teacher told me at the beginning of the semester that it's harder to get 100 in data than in calc lol If you're good at math, you'll be good at data. 98% chose UC Davis + Other Cross Admit Data I'm taking STAT 140 right now and so far there hasn't been too much linear algebra. crouch@berkeley. AP Stats won’t help you at all. Never really developed good study skills though so I've been working on it and it's helped. g. Top. they changed the bins because the midterm was hard. Hopefully this video especially helps anyone considering majorin This is just in my own experience (everyone knows whats best for themselves), but personally Data 140 was very hard for me. I took the course without CS 61A or Data 8, but Of course, people have different experiences with different classes, and what I am sharing with you now is just one person's opinion, a student who had an extremely grateful experience. ; The Syllabus contains a detailed explanation of how each course component will work this Spring, please take time to take a look. Office Hours: Tue, Th 3-4pm Data 100 (Alvin and Perez): 3/10 I'll start by giving the class some credit; I get what they're trying to do, and I appreciate the intent behind it. 02% chose Berkeley and 4. I have seen people complaining about Data 100 in many aspects, including the load, projects, organization. blueberry0929 By: Sandya Wijaya, Lillian Jiang, Medha Iyer. Most CS students at Berkeley take this their second semester freshman year, as part of the intro '61 series' (CS 61a, CS 61b, CS 61c). I think it wouldn't be too bad to have Data100/161/162, depending on how good your time management and organization skills are. Repeat Rules. jegonzal@cs. ; The Syllabus contains a detailed explanation of how each course component will work this Fall, please take Data 100 over the summer historically does not enforce pre reqs and can be done remotely. I have absolutely zero coding experience, however I am willing to put in lots of time and effort into learning, but I am worried even with my full effort it will be impossible. instructors@berkeley. Data 100 is more of an introduction to simple applications of data science but if you want to do more math/stat/ml side of data science things will be more like 70. I am only missing data 100 which is not a hard prereq. I am a current student in this course. I found the stat 134/135/15X series to be more informative than the EECS 126 experience (which was more like trial by fire). Click here to read our guide on how to set up our development environment locally (as an alternative to using DataHub). also, i'm gonna go out on a limb here and say you probably don't know what data science really is (because not many high school students do, myself included when i was applying). 5gpa+) and with all the rumors that cal has grade deflation. With this background, what classes would u recommend? All exams are in-person (not online) for Data 100 and Data 200 and are subject to standard proctoring procedures. Ed Datahub Gradescope Extenuating Circumstances. why is data 100 considered such an easy class it 100% is not a cake walk and definitely not easier than 161/16a/188 145K subscribers in the berkeley community. Data 8 for some reason is now a hard as heck class after the pandemic (Data 100, assuming a Linear Algebra background, A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. You can take the extremely difficult EECS 126, the very difficult Data 140 (generally recommended), the slightly less rigorous STAT 134, or the INDENG 172 probability course. 0 hours I wanted to give some advice to those who are interested in taking Data 100 at UC Berkeley but have not taken some of the prerequisites. Data 8. A deficient grade in DATA C100\STAT C100\COMPSCI C100 may be removed by taking DATA 100. If you have a strong calc foundation, you should be good to go. Thanks! Share Sort by: Best. queen_laLIT • Data 100 and CS188 felt like a bunch of busy work— homework took me AT LEAST 10 hrs (esp for written hw in It’s a very hard prereq, there won’t be any exceptions unless you’ve taken an equivalent course outside of Berkeley. This may be satisfied concurrently with Data 100, but we strongly recommend that you finish a linear algebra course before taking Data 100. Enable students to start careers Students in Data 100 explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and Data 100 Goals. Old. A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, Idc how hard Data 100 and Data 8 are, 170 is very hard and time consuming, and 61C is hard and has deceptively high workload for a certain stretch in the middle of the semester. edu/textbooks for the most current information. Textbook Lookup (opens in a new tab) Guide to Open This is really 100% true. What format will Data 100 be taught in for Summer 2022? A. (I had a STEM background too, by the way, including a PhD -- there are lots of us at Berkeley because it has a strong IP program. 98% chose UC Davis + Other Cross Admit Data I took Data 8, CS 61 A and Math 54 summer ‘19 and it was a fun and extremely fucking taxing experience. Lecture notes will be updated on a weekly basis, prior to the lecture. , for loops, lambdas, debugging, and complexity) that will enable Data 100 to focus more on the concepts in Data Science including mobility impairments, blind or low vision, deaf or hard of hearing; chronic illnesses (chronic pain, repetitive strain 100% take math 54. It's hard because it's the most fundamental class for a statistics (or data science) major. There are a lot of superficial "introductions" to data science which are only at the level of popular science books, so they give the wrong impression about what really makes it work (Data 8 at Berkeley hides the math and gives the wrong idea about the technical level of real data science -- it is more like an art appreciation course, aimed at Grade curve is what makes it challenging. To seek for more, I am taking Data 100 next semester as well. How relevant are they for industry positions? In addition, I have done data 100, and thought it was hard, and that’s the only data class I’ve done. I guess stat 20 would be easier since there is more overlap. 189 introduces these Our members say it’s possible to get by with Data 100 and half of Data 140 knowledge. ADMIN MOD data c102 vs data 140 workload . UC Berkeley, Summer 2023. The psets still take less time than your typical CS project, but the theory is pretty hard to wrap your head around (really fun class though, highly recommend it if you enjoy 134). econ 2 is supposedly harder and more work than econ 1 (which i took), but you may have a good for #1) idk if uve taken cs61a b4, but the workload's about the same, maybe slightly harder. 98% chose UC Davis + Other Cross Admit Data upvotes · comments r/berkeley As a Public Ivy, it’s hard to get into UC Berkeley, much like Ivy League schools such as Harvard University and Columbia University. I plan on taking 61A next fall. i. Gonzalez. For this reason, 61A/B will be easier than they otherwise would and are therefore manageable in your first semester. Data 100 is more organized and the content is more useful in my opinion. and almost 800 students are taking Data 100, the bridge to upper level data science courses. 8+ at cal, but my sibling says that cal is still significantly harder. 98% chose UC Davis + Other Cross Admit Data upvotes · comments r/UofT I took data 8 and its probably the biggest waste of time at Cal. The foundational Data 8 course, created by an interdepartmental faculty team including Statistics faculty Ani Adhikari, Mike Jordan, and Deb Nolan, is the fastest-growing Considering Data 100 to pair with cs70, plus a breadth. Prepare students for advanced Berkeley courses in data-management, machine learning, and statistics, by providing the necessary foundation and context. i took 100b with olney last spring along with cs61a, econ 100a, and ee16a and it wasn't too bad. I am far from a model student wrt study habits, not even in HS, and it wasn’t too bad at all, except for the one semester that I overwhelmed myself with 4 pretty time-consuming techs (CS61C, Data 100, STAT 140 and CS 61B) plus having Sahai fuck me over and had to take the 16B final that same semester. By Sam Lau, Joey Gonzalez, and Deb Nolan. Hi, I wanted to understand whether data c100 would be closer to how hard data c8 is or cs 61a, bc I thought data c8 was free and on the otherhand I A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. Some namely are, sorting, dfs, bfs, two pointer, greedy algo, dp, memoization, tree problems, binary search, math problems, graph problems, link list, sliding window, and so so so much more. Ed Datahub Gradescope Lectures Playlist fernando. math 53 is difficult, but not impossible if you put in the time to learn and ask for help (from friends or your gsi/ta) when you need it. edu/#/. you could find that data science is more interesting, or at the very least unlock I wouldn't say it's 100% necessary, but knowing the fundamentals will help you with a lot of the topics. Data 100 will be fully online over the summer. 16a does an absolutely awful job of teaching linear algebra, If you're considering Data Science at all, take M54. After taking stat 134 with Adam Lucas, here are my takeaways: First, I was not able to attend section, lecture, nor take the adjunct since I have a long commute, came in twice a week, and couldn't justify coming in solely to attend section and a one hour lecture, so I cannot speak for the adjunct course nor for section/utilization of section. They also allow a statistics course at a select few community colleges that also substitute for data c8. The lower div cs classes have a b+ average and to declare you need a b+ average in 61a, 61b, cs70. Best. , for loops, lambdas, debugging, and complexity) that will enable Data 100 to focus more on the concepts in Data Science including mobility impairments, blind or low vision, deaf or hard of hearing; chronic illnesses (chronic pain, repetitive strain It shouldn’t take as long as the 70 psets. Data 8 Difficulty CS/EECS Can anyone comment on their experience with Data 8 after taking CS61A/B. just wondering what the title says. 0 gpa in most classes. It seems to vary from person to person, semester to semester. That is quite hard, and you'd better be prepared to work at least 70 or 80 hours a week. Sort by: HARD AFFF Reply reply Any of the upper division probability classes is miles harder than AP Stats. Even if you took Linear Algebra or Data Structures at a CC, those grades from the CC would still be used for the calculation. How hard would data 100 be A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. But you can def maintain good grades if you work hard. However in the same year, as I'm not sure stat 133 is really that comparable to data 100, if you want to do what 100 does in R, I would recommend stat 154? I feel like topics it covers are really comparable to data 100. New comments cannot be posted. I'm an applied math (switched to Data Science) transfer, whose only CS experience was an intro to C++ class at my CC, and found the rigor just fine. Data 100 Grading Curve/past midterm average . How is the load and difficulty of Data 100 compared to cs61a and cs61b. They’ve expanded Data 8 now so that most people who apply in Phase 1 should get in. My kid took the class (CS/DS major) and needed this class for his Cognitive domain. Is double majoring in data science do-able with me keeping my sanity or will I drown in work doing so? edit: Didn't know it was an impacted major. But of the 4 in your choice list, it’s pretty safe to say that Math will give you the best chance of getting into Berkeley, especially since the major is not impacted. 0-2. Like another person said, the class definitely isn't taught from the ground-up, and moves extremely quickly. We’ve organized some regular expressions A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. Everything in data 8 is subsumed by data 100 and cs 61a. The notes are massive time sinks that are unnecessarily convoluted and overly complex for no reasons. Credit Restrictions: Students will receive no credit for DATA C100\STAT C100\COMPSCI C100 after completing DATA 100. i know someone who got basically a 4. data c88c is also gonna be slower than cs 61a, so you’ll have a little longer to digest hard concepts. You need Data 8 or Data 100 along with some form of Linear Algebra prior to taking STAT For those who know more about this or if I had said anything incorrectly please let us know. Fall and/or spring: 15 weeks - 3-3 hours of lecture, 1-1 hours of discussion, UC Berkeley has one of the strongest and most generous financial aid programs in How Hard Is It to Get Into UC Berkeley? UC Berkeley had 88,076 applicants for its class of 2025 and admitted just 15,448 students, giving the university an acceptance rate of just 17. Thanks for the info everyone Alongside each lecture are optional textbook readings to the Data 100 textbook, Principles and Techniques of Data Science. prereqs like math 54, data 100, data 140 are hard This video is up to date with the recent changes to the UC Berkeley Data Science curriculum. ADMIN MOD Data 100 . ; Note: The schedule of lectures and assignments is subject to change. Is there anything that I should study ahead for the course? Locked post. For people who took it out of 100 points: Mean 66. e. New. Data 100 is the upper-division, semester-long data science course that follows Data 8, There are all sorts of problems on leetcode! Over 2000+ problems all belonging to different categories and can be solved in different ways. This class will focus on quantitative critical thinking and key It’s hard to say what the effects of the new policy is wrt admission rates. Members Online • Formal Someone who has taken Data 8 and Data 100 should have more info tho, I'm currently taking 182 and 126. The class focuses on quantitative critical thinking and key principles and techniques needed to carry out this cycle. The CS61A homework can be solved by copy-pasting code from the composing programs textbook, though application is needed for the project. i got an a in data 8, and spent around 3-6 hours a week on each hw. Prepare students for advanced Berkeley courses in data-management, machine (e. This SQL Cheat Sheet is an awesome resource that was created by Luke Harrison, a former Data 100 student. To top it off, CS classes are pretty tough, and As are usually the top 15%, A+s are the top 5% in classes where people already have experience and cracked at math. Easiest class he had in his time at Berkeley. Disclaimer: The data science curriculum and class structures may change in the future. I was the instructor for 53 last summer and made the hw graded on completion and the grade was two midterms and a final DATA C100 at the University of California, Berkeley (Berkeley) in Berkeley, California. *effective Fall 22 EECS 16B is no longer a requirement Difference Between CS 189, Data 102, IEOR 142, & Stat 154? All 4 courses mentioned in the title seem to be about the same thing: machine learning. Open menu Open navigation Go to Reddit Home. Exception Request Process: If you meet one show more Hmm I see. my schedule was data 100 + cs61b + ge (4 units) + 1 unit decal totaling 13 units. I am currently taking data 100 without taking data 8. 27 votes, 14 comments. Math grade will be used in the GPA calculation. /r/MCAT is a place for MCAT practice, questions, discussion, advice, social networking, news, study tips and more. You will then become part of the history of Data 100 at Berkeley. You should be prepared to work hard when you apply for Berkeley. easily done as a data science major. Bella Crouch . Enable students to start careers A deficient grade in DATA C100\STAT C100\COMPSCI C100 may be removed by taking DATA 100. 0 in cc and is barely getting by at cal in their classes, their major is also data science. mayashen@berkeley. A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, ADMIN MOD data 100 without a data science major? CS/EECS How hard is it to get this class without being a data science major? Share Add a Comment. You can look for support from the division of data science and online resources that they might have. Uc berkeley allows stat 20 as a data c8 replacement for the current semester. How hard will Berkeley be if you’re stupid? I’m looking at the course catalogue and data 144 seems quite interesting. A good thing and a very bad thing. If you did bad in 134, I would recommend going revising Chp 3,4,5,6 of Pitman's textbook. Midterm, final, and vignette (they break down the vignette like a high school essay, so it's really easy). EE 16A or Math 54 or Stat 89A. Joseph E. Q&A. Skip to main content. While UC Berkeley’s acceptance rate is extremely low, your personal chances of acceptance are potentially higher, or lower, depending on the strength of your profile. . Data 8, Berkeley’s entry-level class on the Foundations of Data Science, Second this, data100 is much easier compared to cs61a. From what I hear from a DS major if you have taken Data 100 do not bother with 144. It is quite possible that this class is valid for either major, so long as the individual petitions the department in question to accept it. 27, Median 66. A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, How hard is data 100 compared to it Reply reply More replies. Reply it basically felt like I was just teaching myself R. Reply More posts you may like. 189 is a monster and you likely wont get off the waitlist if you havent enrolled by now. We’d also like to point you to the textbook for Stat 88, an introductory probability course geared towards data science students at Berkeley. come to class with an intro this week, a first draft in 2 weeks etc, next week is peer review Data 100: Principles and Techniques of Data Science. Reply reply i’m an incoming data science major at cal and i am thinking of applying to a masters degree program in computer science in order to become more employable with a cs degree and to have a betger opportunity at gaining a lucrative tech job. Office Hours: Tue 11-12pm (Evans 419) Narges Norouzi . All labs are intended to take about an hour. 6. 98% chose UC Davis + Other Cross Admit Data upvotes · comments r/berkeley A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, But is the class hard if I haven't taken data 8 and only learned linear algebra through 16A? Should I take Data 8 next semester with the hot indian dude and then take Data 100 in Fall 2020? Idk about the professors, but from a declaring standpoint, taking 61b + data 100 might be best. berkeley. *Effective beginning in Fall 2021, enrollment in Data C100 will require satisfying the faculty-approved pre/co-requisites, as listed in the Berkeley Academic Guide. Q. It wasn't too hard or too easy. I'm also taking DATA 100, and I would say there has been more linear algebra in that class than 140, so I'd probably hold off on 100. How hard is the ACIS Program? comments. Members Online • herfailure. didn't study for the midterm (scored median), but studied for at least 30-40 hours for the final (scored 20 pts above median, but they didn't release SDs). 61a should be not too difficult it’s learning more functional programming with Python and some scheme, if you have prior *Lecture will be fully remote. By far the hardest part of the course is the midterm and the Final. It was pretty easy if you knew your python when I took it but I don't know if they made it harder like they made Data 100 harder. The MCAT (Medical College Admission Test) is offered by the AAMC and is a required exam for admission to medical schools in the USA and Canada. 154 and 142 is likely still open. It’s impossible/very hard to get a 4. Regarding 15X classes: I actually felt like 150 was the hardest class I took at Berkeley in terms of theoretical difficulty (even more so than CS 189 and Math 104). ). CS/EECS I took data 140 fall 2021 and it was an 102 wayyyyy easier than 140. This information is relevant as of Spring Hi! I have a few questions related to the data science major at cal- Is it hard to get in as a DS major? What kind of internships can I get as a DS major during the 4 years of college? {Like only data scientists or data analysts, business analysts, etc} What kind of job can I just take meth and adderall i got an a trust me my doctor told me to stop but i wont stop i cant stop i cant stop i cant stop if is top the voices will overcome they will hahahahaha ic ant let them i cant i cant i take drugs drugs make them go away they go away trust me just do drugs just do drugs meet me at peoples park at 1:30am on thursday i will be wearing a black hoodie trust me i wont Students will receive no credit for DATA C100\\STAT C100\\COMPSCI C100 after completing DATA 100. He had a different teacher though (circa Spring 2020). ended with an A. Students need to be declared in math first. All the kids here for the most part were also the"smart" ones in school. problem sets aren't weekly, there were like 5 sets for the entire semester, there were quizzes in discussion section but they weren't hard and out of 30 quiz points total they only counted 20 points at 10 points a quiz, so you could drop one quiz completely if you got a perfect on the i took ling 100 over the year so maybe its a little different with pacing and all but i didnt think it was too bad, some of the concepts can be a little tricky especially if youre not the best at english but its a pretty low workload (for us it was one problem set per week and they were usually pretty short) and if you put in some kind of effort you should be ok Difficultly from Data comes from it being different (kinda similar to calc). The class has been buffed up conceptually, some of the assignments have been made more challenging, and overall work has been put in to make the the class more educational and more difficult. 61 A was definitely the hardest course and Data 8 is pretty easy. Depending on your math skills, the Stats department has some less intense, very informative courses. What you mentioned is exactly what he told me too. How is 140 with a CS70 background? 2nd - 104? The Berkeley time distribution looks so good, but I haven't heard the best things about it. How hard is PE 100? The question says it all. What my advisor told me is to get a mentor at https://csmentors. UC Berkeley, Fall 2023. Hours & Format. CS 61A or CS88 or Engineering 7. I think the class is so hard for me because most of the prereqs (Math 54 and data 100) I took more than 2 years ago and I didn't do good in either of them, and I took Prob 140 last year when the pandemic started so I barely retained anything from the last few Put yourself of the data science newsletter so you can hear about all kinds of upcoming opportunities. It's a painful class, but once you're done you'll have learned a lot. There is a statistics component to the Data 8 class as well which you may or may not have been exposed to. r/berkeley. but i also realized i’m just very averse to probably theory so i had an exceptionally hard time in 140 A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, I heard it’s hard and stressful to get into business, 95. its totally doable, as i did that combo. Late to the party but I'm a PhD student and I've taught M53 for Stankova and the workload doesn't seem that worth it tbh. Enable students to Prepare students for advanced Berkeley courses in data-management, machine learning, and statistics, by providing the necessary foundation and context. Controversial. ADMIN MOD Data 100 Thoughts? CS/EECS They sure did their best to make up for the easy midterm Share Add a Comment. As a former TA, Data100 gets harder every semester. So far the course has been very doable, and the workload is not too high. A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, Members Online • brownsugarbobaa . This is the textbook for Data 100, the Principles and Techniques of Data Science course at UC Berkeley. unless I'm missing something, classes being online really doesn't cut down much time/workload for most people other than the time it takes to walk around campus so I wouldn't let the fact that it's A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. im a ds major so this was feasible. I mean, with Data 100, I am not sure how much 88 can teach me more. Sort by You need a 2. Members Online Is CS 189 & CS 161 & SWE recruiting manageable? I don't know about Data 8. isabella. Add a Comment A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, Members Online • RosyGoldfish037 . Get app Get the Reddit app Log In Log in to Reddit. So I haven’t taken the prereqs for data 100: cs61A and math 54, but I have taken data 8. A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, mikehawk2310 . It’s a great place to be though since you get to be with same-minded people who also want to work hard :) A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, Still-Word-4384. Better yet, lightly read it and start going through the content on the home-page for whichever class you end up taking. Open comment sort options. UC Berkeley, Fall 2024. I kinda knew it would be beforehand so during the semester I took it, tried to load up on as many other breadths/domain emphasis/DS major req as I could so that Data 140 was the only technical class I took and it was still really hard for me. I took 61a the previous semester. I've also taken Math 54, Data C88C and idk if it matters, but I've taken the equivalent of Math 53 at CC. Frequently Asked Questions: Before posting on the class Ed, please read the class FAQ page. A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. In the class, linear algebra comes up in the unit on OLS and the unit on PCA. 1st - Opinion on 100 and 140 together? It sounds like 100 is doable but 140 is death. Will finish cs61a and cs61b plus Data 8 as freshman. Take probability for instance. 07, STD 15 When accepted to both and deciding between both, 95. If all else fails, try to find a personal project that you are interested in working on, maybe using Kaggle or just the jupyter environment. I’m about to have my midterm and I’m panicking more and more about grading. And data 100 and data 140 are my only tech classes. Which do you think will be more beneficial for the future as a cs+business student? Learning R fundamentals through 20 or applications of statistics through 88 (not sure how much more after 100, though). Oh that’s cool. cs 70 is usually really hard for people so i’d recommend having a pretty (chill) schedule when you take 70 so you can really focus on it and make sure you get the grade you need in A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, Any tips for doing good in data 100 (planning to do next semester)? Took stat 20 then data 88 this sem, it’s getting a little bit challenging for the second part of data 88. imo their midterm was bad because it was mostly on stuff they barely taught, A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. i haven't really taken stat classes b4 so I can't speak to the workload of your sem, but I took data 100 this semester with hilfinger 61b and eecs16b and found data 100 to be the lowest workload of the 3. It's been getting more and more difficult to get into upper divs for non majors, though I would say if you always phase 1 classes like 170 188 and maybe data 100, you're likely to get in. If you spot any errors or would like to suggest any changes, please email us at data100. I'm trying to understand the workload/difficulty of poli econ 100. perez@berkeley. I Prepare students for advanced Berkeley courses in data-management, machine learning, and statistics, Data8 covers much of the material in Data 100 but at an introductory level. Ari and Marg were the nicest profs I had. but to get to the main point id say its doable, but i would tbh A now grad student in Berkeley, Data 100 may have a hard pre-req of Data 8. my sibling transferred to cal (non-stem) from a highly competitive cc and has a 3. I learned a lot for sure from 61A and Data 8 and Math 54 was just sort of there everyday. You'll be competing against a lot of very, very smart, ambitious people. Data8 provides basic exposure to python programming and working with tabular data as well as visualization, Jump to current week: here. He/Him/His. He told me you can get a registration code from the mentor to enroll it as 1 unit credit P/Np. keep in mind, it was corona semester so things were slightly different. Contribute to AyelaChughtai/Data100 development by creating an account on GitHub. But I've taken Data 8 (and Stat 20 - Didn't know I could only take stats 20 and it'd count towards Data 100 or DS minor until mid semester of when I transferred). Regex Practice. it's slowly getting better due to actually having time to create classes that are core to the ideas of "data science" - we'll see how data 102 turns out. If you take EECS 16A, the DS department will make you also take EECS 16B. ) Personally, I ignored the grades completely. oipgg efcel hqtevgwl kvzvj kmlydt nqyhzt gnarks thnwp lzqlc tnotz