Stat 102 Berkeley Reddit, 1 Usually the course is curved to a B- and +1SD above to my knowledge usually means an A- but I’m not sure how it worked out this semester. Data 102: Data Inference and Decisions This course d evelops the probabilistic foundations of decision-making in data science and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Not even half way through the semester and I'm struggling to stay afloat in data 102. Data/Stat C140 or EECS 126 are preferred Credit Restrictions Students will receive no credit for DATA C102 after completing STAT 102, or DATA 102. Stat 151a without Stat 135 : r/berkeley r/berkeley Current search is within r/berkeley Remove r/berkeley filter and expand search to all of Reddit DATA 102 (Data, Inference, and Decisions): Combination of statistics, probability, and basic reinforcement learning. On bcourses with quizzes, assignments and exams inputted, my percentages ranged from an 80-83%. What are your thoughts on the Stats major/department in general? I'm an incoming L&S freshman looking to major in a quantitative STEM field and there… A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. Review my 4 year plan Double Major for Neuroscience/ Data Science OR MCB/ Data science I’m currently a rising sophomore and have made a last minute…. I'm trying to decide between Berkeley and Davis and would like to get some insight into what the department is like and if anyone would recommend one over the other from experience/knowledge/etc. 120 votes, 112 comments. Hello! I’m entering my senior year and only need to satisfy the upper division unit requirement to graduate. If you don't like math, DO NOT take stat 134 (it's a prereq for 135 anyways). Stat Labs: Learning theory through applications, Nolan and Speed. First homework was so fucking tough I ended up saying this class has fucked my ass. true To my knowledge data c140 is the same as stat 140? If that’s the case I’ve heard stat 140 is generally a fairly good class with a good professor that goes more in depth into topics while not covering quite as much. Data 100 helps a little in prepping you for ML classes. i am a declared ds junior. 145K subscribers in the berkeley community. I will be taking some pretty hard courses senior year (MCB 102, MCB 104, etc) and want to balance it out with some very easy classes that don’t require as much of a time commitment. It focuses more on Bayesian modeling, interpreting results, and setting up A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. 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 ieor 142. 2 Exam 2 - 119/150, SD= ~+0. I dont know much about Ind Eng 142 but its probably more practical than 102 based on the syllabus I'm looking at rn. Repeat Rules Course is not repeatable for credit. STAT 102 at the University of California, Berkeley (Berkeley) in Berkeley, California. I took MATH 54, STAT 20, COMPSCI 61A, 61B and got all A's; am considering to take 151A next semester but become hesitant as I got none of the prereqs for the class (and no upper div math class taken). Look into Data Berkeley's online course discovery platform. A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. Berkeleytime is a platform built, maintained, and run by students, just like you. The problem sets were doable and the exams were of the kind where doing practice ones helped a ton; I did a bunch the day or two before an exam and that was enough. Other class I heard toughest in my Major is CE 191 Optimization even GSI who is my friend said everyone struggled badly in this class poorly structured bad professor. UC Berkeley Data 102 develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Ended up dropping with my two bestie. As for Data 102, the class is a mess. edu Office Hours: M 11-12 and W 2-3 and some (by announcement) Tue 3-4 395 Evans Teaching Assistant: Ben Hansen bhansen@stat. How is the Statistics program at Berkeley? Hi, I am a transfer student who has been accepted to Berkeley for Statistics. Does anyone have any good recommendations? A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. berkeley. so,, for those who took ap stats in high school and -- for whatever reason -- took stat 2 at berkeley, how did stat 2 compare? do you cover as much as you do in ap stats or not quite since it's They really don't offer either Stat 101 or 102 anymore—now, they offer 134 and 135. Stat 154 and IEOR 142 are both disasters. Studying STAT 102 Data, Inference, and Decisions ("Data 102") at University of California, Berkeley? On Studocu you will find 19 lecture notes, coursework, practice im currently 55th on the data c102 waitlist. I'm currently taking NST 110 (Toxicology) as one of the electives. Recommended Text Memorizing amino acids and their basic chemical properties is a good start imo. 87 Exam 3 - 102/150, SD= ~+0. A deficient grade in DATA C102 may be removed by taking STAT 102, STAT 102, or DATA 102. there are 63 open but reserved seats for stats/ds seniors. I unfortunately didn’t take either and took stat 134 instead which I don’t really recommend after comparing my experience to that of students Data 102 is probably the easiest out of all the ML reqs for DS. Metrics is a statistics with empirical stuff in R primarily (tho u can use stata or python) but the R instruction is lacking. edu Office Hours: 342 Evans ieor 142. before i get to berkeley. But that also means you have to be really, really careful: you need to cherry pick people to do group projects with. data 102 is objectively a better class but its better that you get a solid foundation of machine learning rather than obscure statistical learning and decision theory Solutions to homework assignments are posted in the 3rd floor corridor of Evans Hall and on reserve at Bechtel Library. Now give me your worst classed you have taken in Berkeley. data 102 is objectively a better class but its better that you get a solid foundation of machine learning rather than obscure statistical learning and decision theory Students will receive no credit for DATA C102 after completing STAT 102, or DATA 102. " Not worth IMO, all of those are super heavy theory classes and are usesless as a consultant. With that, I’d say essential classes are: CS186 (databases) Stat 140 (probability theory especially in the context of DS) Stat 102 CS 189 (if you’re able to enrol, strong alternative for stat 102 if you’re ready for the workload and have a good math background/understanding of linear algebra) taking stat 135 / stat 102 / stat 150 / stat 155 in one semester : r/berkeley r/berkeley Current search is within r/berkeley Remove r/berkeley filter and expand search to all of Reddit r/berkeley Is attendance for Stat 20, MCB 102, CogSci C127 or ESPM 50AC usually mandatory? If anyone knows if it is usually mandatory for lectures or discussion please let me know! A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. I’m looking to take a stats class to round out my resume, it would just have to be introductory. While I know this isn't a wholly ML class, it has some interesting intersection between Bayesian stats, neural networks and it'd be interesting to be introduced to these topics before I pursue grad school. Hi guys, I'm MCB-CDB Track 2, which allows me to take 2 electives alongside MCB 102, MCB 104, MCB 136 and MCB 133L (which I plan on subbing out of). Stat 134 Summer 2021 : r/berkeley r/berkeley Current search is within r/berkeley Remove r/berkeley filter and expand search to all of Reddit I took 134 instead of 140, but 102 was honestly super doable. Students will receive no credit for DATA C102 after completing STAT 102, or DATA 102. It will be available in January at Copy Central on Hearst near Euclid. I have only take Data 102, but this is what I've heard about the courses you've mentioned. as the AP stat test rapidly approaches i'm realizing i may not pass/fulfill the letters & science quantitative reasoning req. 102 is a hodge podge of a lot of interesting statistical concepts but won't help you that much in industry. The major in Molecular & Cell Biology exposes students in the fundamentals of biochemistry, molecular biology, genetics, and cell biology, and also encourages students to focus their studies in one of six undergraduate major emphases. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. There is no inherently good reason for DS students not to take Data 140 for probability, and Data 102 for MLDM, unless they take the CS or Stats version of it (EECS 126, CS 189, STAT 154) which are closely allied majors. 102 doesn't rely on any super detailed/crazy ochem, and it is much like bio 1a in that most people find it challenging b/c of the volume of material presented in the class. Stats: Exam 1 - 118/150, SD= ~+1. CS 189 is very difficult, and while CS 182 is less difficult it still somewhat depends on 189 material. A stats minor needs all this stuff: "Stat 134 (or Stat 140*) and Stat 135; and three courses from: Statistics 150, 151A, 152, 153, 154, 155, 157, 158, and 159 including at least one course with a laboratory (exactly as in the major). This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. I’d do stat 2, but it’s currently full. Apart from what it says in the description, how valuable is the material you learn? I am going to graduate next spring and I really want to take an ML course before I do. The deadline to declare MCB is the semester before the Expected Graduation Term listed in CalCentral. The homework is graded strictly but the questions are just vague enough so it causes confusion and keeps you up 5 hours working with other people as you all argue trying to figure out what it actually wants (true story). how likely am i going to get off the waitlist? does data 102 ever expand? What do you learn in Stat/Data 102? I've of course read the course description but I wanted to get some opinions from you guys who have taken this course. Statistics 102 STAT 102 -- Course Outline Lecture: MWF 1-2 in 332 Evans Section: Th 3-4 in 332 Evans Instructor: Deborah Nolan nolan@stat. Berkeley A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. Non-stats majors, even non-STEM majors take it so the grade variation is wild. d5up, kojhh, bwvrg, sud7hk, suq4y, k8ok, zv73, lezb, ytcuod, mumi,