POL SCI 6

Introduction to Data Analysis

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PROFESSORS

Jesse Acevedo See Full Profile

Overall 4.5 Easiness 3.8 Workload 3.6 Clarity 4.2 Helpfulness 4.5

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I must disagree with the review below. I thought the class and the professor were very straightforward. It's not intense statistics. After all, the class is called statistics for POLITICAL SCIENCE MAJORS, not statistics for math majors. There's definitely a learning curve for the statistical program R, but once you get the hang of it, it's really simple. The professor and TAs are always willing and able to help you with R. That being said, it would probably be helpful to make friends in the class to do your coding together.

The midterm and final were multiple choice. Jesse doesn't really try to trick you with the questions. Maybe one or two questions that you need to read carefully, but they're all very, very doable.

Overall, I'd recommend this class and professor. Not time consuming at all. One of the easiest classes I've taken at UCLA so far.

Fall Quarter 2015
Maxim Ananyev Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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Maxim Ananyev See Full Profile

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Joseph Asunka Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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Joseph Asunka See Full Profile

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Kathleen Bawn Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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Kathleen Bawn See Full Profile

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Marika Csapo Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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Marika Csapo See Full Profile

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James DeNardo See Full Profile

Overall 3.5 Easiness 1.8 Workload 1.5 Clarity 3.5 Helpfulness 4.2

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Denardo was great. he was a bight quirky but that's because he's actually quite brilliant. Fair grader as well. I've taken Stats twice before this, and absolutely HATED it. Took it with Denardo and it could have been my favorite class of the quarter (out of 5).

March 4, 2011
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Erin Hartman See Full Profile

Overall 2.6 Easiness 3.6 Workload 2.8 Clarity 2.6 Helpfulness 2.4

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Hartman was nice but she seemed pretty inexperienced. Her class setup was focused on peer learning so she and the TAs put us in groups that we stayed in for the entire quarter. Everything was done with our groups: the homework, the classwork, and our final project. There was also an enormous amount of coding in the R language which I found pretty hard because she didn't really teach it to us; she just sent us R files with instructions on how to do certain things.

A normal lecture would consist of Hartman talking about what we'd be doing that day and then we'd work with our groups on a worksheet. Her lectures weren't effective for me because I felt like she wasn't really teaching. She was just giving us basic information about whatever stats topic and then we would have to put it to work in R and on our worksheets.

I understand what she was trying to do with the whole group learning thing but I feel like it actually hindered my learning. I think the group situation allows people to slide by and not actually learn the material because we can just rely on others in our group to keep us afloat. I wasn't the only one who was lost in my group but we all sort of did what we could to get the work done. I think the class was curved at the end of it all because people were struggling. She also offered extra credit. If I remember correctly, I think it was .5% for reading an entire book and writing a 3 page summary or reflection on it. I definitely didn't think that was worth it.

Overall, I had a bad time in this class but I survived. Unless Hartman changes the way she runs her class, I'd recommend a different professor.

Winter Quarter 2017
Chad Hazlett See Full Profile

Overall 2.0 Easiness 1.7 Workload 1.7 Clarity 2.2 Helpfulness 2.7

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Considering some of the other reviews here.... This class has substantially more content than the regular Stats 10 class but for those who actually want to learn 21st century skills with data analysis, I advise taking this instead. It certainly is difficult but there is a favorable curve and a LARGE amount of extra credit that can boost you up to an A. You can check the distribution; a lot of people get A's. For those wondering to take this class, you have a high chance of getting an A if you put in the work. The entire class is premised on group and in-class work rather than lengthy lectures and individual work. Instead of lectures you get group-worksheets that have to be submitted either by the end of class or by the week's section. In contrast to other classes, the professor emphasizes a contract among the group and to encourage a culture of helping each other out. Not only that but he makes it clear that if you're a shitty groupmember you will be noticed and your grade will be affected. The downsides of groupwork doesn't exactly fall on the fault of the professor, since he already did all he can. People are complaining about the lack of lectures and emphasis on worksheet work but hey I see y'all not even paying attention to lecture anyways and going online shopping ¯\_(ツ)_/¯. As mentioned in the reviews, in the first 3-4 lectures you get a big bootcamp that throws in a lot of information to you at once on how to code using R. It's stressful but we're not expected to learn all of it in one go. In fact that's kind of the whole reason why we get a large amount of practice with worksheets and problem sets. For those who are considering whether to register for class, note that you have a large amount of office hours to talk with the TAs and professor to sort everything out. Additionally one of the reviews were submitted only 2-3 weeks in which is unfair to review on the class as a whole. Now I know watchy'all thinkin: who tf is this teacher's pet? But lemme tell y'all it's clear that some of these people have never taken a south campus class. This class has the rigor of one but the curve of a north campus class. It's as if people were shocked that attending the #1 public university was going to be hard and that it had challenges? But there are definitely downsides. The grades are not uploaded consistently and you're in a permanent state of unsureness because you don't know whether what you're doing is right. Again for those wondering whether to take this class, it's a bit of work and you'll definitely struggle in the beginning but keep in touch with your TA for grade updates and the professor for help and you have a good chance of getting an A.

Winter Quarter 2019
James Honaker Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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James Honaker See Full Profile

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Zsuzsanna Magyar See Full Profile

Overall 2.4 Easiness 3.0 Workload 3.2 Clarity 1.6 Helpfulness 2.2

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The content itself isn't that bad. It's a little challenging if you have no experience with programming/statistics, but the material isn't that complex. The problem is the professor is extremely scattered and does not know how to simplify things. She clearly knows the subject well bur her logic is often very unclear and when asked to clarify she tries but it does not help. I've pretty much had to rely on youtube to get me by, and I'm still struggling. The final project is hard. I've gone to office hours multiple times and she is very willing to help, but I've often left still extremely confused.

Spring Quarter 2017
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