Nov 20, 2017
this course teach you about the technical of using tools for predictive modeling. very useful for you who want to learn the fundamental of analytics.
Dec 12, 2016
There were some instructions in the quizzes hard to understand with no additional explanation in case of error.
교육 기관: William C•
Jul 03, 2018
I was very disappointed by this course. The professor was knowledgeable, but was difficult to understand and spoke quickly. Even the transcript had the words [INAUDIBLE] listed multiple times because he was so difficult to understand. There were no slides, so note taking was difficult. The course also requires paying $25 for an Excel Add-In, which was not mentioned before enrolling in the course. The Excel Add-In is a different version from the version used in the video, so it was very difficult to follow along because the screens and outputs were different. I also had an issue with the Excel Add-In that made some of my work late because the issue could not be resolved quickly. The Analytic Solver (the Add-Inrepresentative said the problem was on their end, and had to fix the issue himself. Overall I was extremely disappointed and would not recommend this course to anyone. If this had been the first course in the specialization, I would not have continued. In my opinion UC-B needs to rethink if they should even offer this course.
교육 기관: Rohan G L•
Jan 29, 2018
This class doesn't even deserve that one star.
It is easily the worst class I've ever taken on Coursera. The data in the final does not match the description. There are mistakes in the lessons and on the quiz. There is no feedback to forum. The instructor's English is of a very low level and he speaks entirely too quickly.
Coursera, please delete this class. Look at the comments below.
교육 기관: Yvonne G Q T•
Sep 16, 2018
This module is badly organised and taught. The lecturer goes through the concepts with no explanation or illustration. As a result, it was hard to understand the significance and applicability of the concepts taught. It was also very hard to catch what he was saying as his voice was not clear and no slides were provided. Further, no answer key was provided for the assignments and quizzes - we wont even know why we got the question(s) wrong and what should be the correct step(s). The final assignment/quiz was kind of a repeat of the first four quizzes/assignments using a different set of data. While I appreciate that this is to give us more practice, it wasn't very useful as the lack of answer key for the first four assignments/quizzes meant that we couldn't quite know the reason for getting certain question(s) wrong earlier on.
교육 기관: Jennifer Z•
Jun 05, 2018
Lots of info in 4 short weeks... the instructor did a good job of getting through it. I had issues with neural networks in XLMiner -- particularly, boosting and bagging; my in-Excel XLMiner wouldn't run models without terminating with an error. Using the in-the-cloud version of XLMiner was better because the menus matched what the instructor was showing in the videos (my desktop version did not). However, I never was able to get the right answer on any neural network boosting or bagging questions on any quiz, though I got all the other questions right - creating decision trees or logistic regression models through XLMiner, even boosting/bagging decision tree models, both Classify and Predict. There was zero traffic in the discussion forums (people were begging people to grade their peer assignments so they could get a grade) so there was zero response to my pleas for assistance. It was pretty frustrating. I finally got through the class because getting everything right except neural network boosting/bagging questions enabled me to squeak through with a passing score. I hate not knowing what I was doing wrong though. Perhaps the instructor's version had different default values than the version I was using. Oh well. It's in the past :)
교육 기관: Pooja•
Jan 02, 2018
The instructor's accent is difficultto understand. The subtitles are also not helpful as sometimes it also misintreprets what the instructor is saying or writes(incoherent). The instructor is too fast and has explained concept too briefly. Many times I had to google to understand the concept and pass the quiz.
Being a part of the specialisation, it is necessary to pass this course. However, the answers of the quiz are also sometimes not correct.
I wish this course is thoroughly revised with some other instructor as it is very hard to understand with the present Instructor.
The forum is also completely unresponsive.
Please update this course.
교육 기관: Chinmaya M•
Nov 20, 2017
Its my individual perception about this course, reason of poor review
1) The instructor is very quick, not sure what is intended to present
2) The whole concept is based on XLMINER tool, which is free for 2 weeks. The tool is upgraded but the course material didn't.
3) Quiz questions and answers, not sure if those are ever verified. Its very specific to older version of XLMiner tool.
4) Not much support from moderator.
교육 기관: Abhishek U•
Aug 03, 2017
I liked the course information but it moves too fast. Week 4 module is too complicated to be covered in a 5 minute video. Many concepts should be explained in detail with examples. The teacher doesn't have a very easy accent to understand and there are many occasions when some really difficult concepts are covered in less than a minute.
This course is fine to get basic understanding of predictive modelling but you need to study a lot on your own to truly understand the statistics behind them and concepts described in this course.
교육 기관: Rachel S•
May 16, 2019
There are a lot better courses for the time. This course mostly teaches you how to use XLMiner which is a paid Excel add on that I am 99% certain I will never use again.
교육 기관: roshni r•
Jul 09, 2018
I don't mean to criticize and I believe the content your courses offer is always great but I had difficulty with the instructor's speech delivery and his accent.
교육 기관: Lance R•
Jan 02, 2018
This course gave me a good understanding of the typical analytic tools used when doing predictive study. It has helped set the direction for my future business analytics study (don't expect to master all the topics in one short course!). If you don't already have a background in basic statistics you will probably struggle to understand much of the material. By basic I'm speaking of things such as basic hypothesis testing, error types, z scores, measures of variation and central tendency, confidence intervals, basic probability, basic understanding of logarithms and exponents.
교육 기관: John T•
Mar 30, 2017
This course has great content and I believe the professor is very knowledgeable about this subject matter. However, at times, it can be very difficult to understand what he is saying. I believe he knows the English language very well but, between his deep accent and speaking very quickly, there are a number of times I cannot understand what he is saying. This is reflected at times when reading the transcript below each video. I found it better to slow the video down to 0.75X the regular speed to hear him but that did not remove all of the difficulty.
교육 기관: Yihan W•
Mar 10, 2017
Week 3 application assignment is buggy. If you input correct answers they will be marked as incorrect. You must use trial and error to find the wrong answers the quiz is looking for. It's a badly designed assignment that wastes students' time and creates a lot of frustration. Would not recommend the course because of it.
교육 기관: Mark S•
Jan 02, 2017
The instructor speaks too quickly and I think this will make it difficult for non-native English speakers to understand the material. This material will also be more understandable to individuals with a statistical analysis background, not enough time is spent on explanation and it will be necessary to supplement the class if you don't have the proper background. Passing the class by rote following of the examples will not give you the proper proficiency.
교육 기관: Sejal C•
Jul 12, 2019
The instructor runs very fast. He is in a hurry to catch his train. Does not explain the topics properly.
교육 기관: teresa z•
Jun 03, 2019
The content is useful. The lecturer is very good at organizing the course structure. However, he is a bad teacher. He reads subtitles instead of "talking". I hope he could elaborate key points and relate concepts to real life examples.
교육 기관: Alex D•
May 30, 2019
Even though a basic math background is needed, this course is extremely simplified for understanding and being really useful introduction to Predictive modeling.
교육 기관: Junyue J•
May 18, 2019
The tutor organised the course with clear points and highlights questions during videos. The only confusion is about web version xlminer tool.
교육 기관: Parv A•
May 17, 2019
Use of some other software can make this course better. xlminer has got a lot of bugs
교육 기관: Shivam S•
May 16, 2019
Really good course, The videos are very precise and short, lot of learning, Loved this course
교육 기관: Eric Z•
Apr 10, 2019
I really enjoyed this course, but I did struggle more than I should have with the software tools. In many cases, my version of the tool (the latest) did not match the instructor's version, and I worked to translate my version to his, and that's not a good use of my time. That said, the material was interesting, and the professor did a great job presenting it. I would recommend the course, but I would recommend that you learn to get the results not just in XL Miner, but in R or some other software, as well
교육 기관: Graham C•
Mar 21, 2019
Very poor course and delivery of subject matter was terrible - Do Not Take This Course!
교육 기관: Amol K•
Jan 15, 2019
More Banking & Financial Industry Related Examples can be covered...
교육 기관: Shafeeq S•
Jan 11, 2019
Very good course for understanding Regression, classification. Other advance predictive models like trees, random forest, neural networks are covered fast. Could have been little more lengthy sessions.
instructor is very fast in explaining concepts.
교육 기관: Isaura D V•
Oct 06, 2018
I only wished that the teacher would speak slower.
교육 기관: Colin P•
Oct 04, 2018
Very interesting course that covers a lot, which is good in that it gives exposure to different mining techniques, but bad in that I feel very far from mastering the techniques. Each mining technique could be its own course. Course could do a better job of explaining how to interpret the model outputs.