Good course to give a basic understanding of predictive modelling and analytics. Good assignments and opportunity to review peer submissions help reinforce the learnings.
Excelent! Even for someone that doesnt work usually with statistic models, this course give the fundamentals insights so that we can go deeper by ourself.
it is really a good course which helps me to understand the basic knowledge of data mining in which I learned about logistic and linear regression and also about boosting, bagging, and random forest.
By Rhonda M•
Professor is a little tough to understand, so I had to read the transcript during some of the videos. However, once I got the XLMiner issues resolved, it continued to be a great class and experience.
By Cayla C•
Really like the course and learned a lot. Wish that the quizzes didn't offer as much guidance on the steps to use XL Miner. Because this is given, it's not fully testing students on the material
By Miah M Z•
A good introduction to various techniques of predictive modeling. To better understand, further study on the topics is necessary.
By Patrick C•
some items were unclear, the definitions, the explanation, the examples were necessary. however, I could google to get those.
By Pelin T•
Although the material presented in the course was very useful, it was hard to keep up with the instructer.
By Thejes S V•
The Case Assignments are pretty useful
By SOUMYA B•
very well explained
By Akintan O•
Tricky to Pass
By Santiago F•
The course although presents great topics, it needs improvement to support students with questions about exams and assignments. I'm not gonna sugar code this review, it took me hours and hours of dedication to pass the quizzes and assignments, and did not get much help from the professors, one of the instructors has poor English skills and is very hard to understand his lectures. However, this course presents you a challenge to better yourself, believe me, if you spend the time, read the questions that other students post in the discussion forum, and follow the guidelines from the videos, you'll pass. I struggled at the end but ended up getting 97% in my final grade. One advice, keep track of the correct and wrong answers you get from the quizzes, many questions repeat themselves, take notes from the videos or ppt, is not enough just watch, be an active learner and you'll be fine.
By Chris m•
Instructor wants the students to learn but the method of presentation and practice doesn't align. The software required uses an outdated software that many users struggle to obtain and install. The lectures do provide some visuals but the amount of information flooded to the student is overwhelming. The quizzes need a improvement, almost all require the use of XLMiner which is complete rubbish. I suggest requiring the students to get familiar with the formulas rather than use a tool which results in a black box scenario for the learners. I do appreciate the time and effort put forth but providing the most current and up to date method of learning is the better option.
By Otto C•
I think it would be more helpful to fully explain an example of how the techniques you learn help you to solve problems. I think that I learned the basics of the regressions and trees but I wouldn't know what to do after you get the results, maybe the example could include what you do next after you get the results from XL Miner. Professor Dan is a really smart person and you can definitely tell he know what he's teaching, however I think he could be more friendly to the camera and maybe smile more :)
By NAGABHAIRU V K•
I really want to mention two thing about this course. The first thing is the content (Algorithms) which are talked in this course are Really usefull and important mostly used algorithms to learn clearly.and another thing is the instruction was so bad in explaining the subject .He is so fast in explaing concepts and math beahind it .Even not only he is fast his native english pronosation is so bad and its really tough to understand.
By Evans L E M•
The final assignment really destroyed my confidence. Things that we're thought to do, were sometimes not required in the assignment - leading to confusion and incorrect outputs. Sometimes I had to use other modelling plugins for Excel to get the correct results.
Also, you really must use the paid version of XLMiner if you intend to get full score in the finals.
By Emiljo J•
I found the course content to be good and explanations to be concise but sometimes rushed through. The choice of software to use, however well aimed as it did not require manual programming, it proved a more frustrating experience than actually writing it in Python. I also hardly believe that I would be using Analytic Solver in the future.
A good course overall; however, I expected some further reading recommendations by the lecturer to help develop a deeper understanding of predictive models.
The last peer assignment was boring and too simple relative to the course knowledge level. Plus, one of the tasks was replicated from another one that I previously did.
By Matthew G•
Covers a lot of essential topics around analytics and predictive modeling. However, the delivery in the lectures lacks enthusiasm and seems very scripted. Also, the final project, despite being primarily a predictive analytics courses is simple a re-hash of the Week 1 project, and is not cumulative of all topics covered.
Many of the concepts felt "glossed over" as the subject matter was rich but it was hard to get a complete understanding of it in the videos. I found myself having to do a lot of additional supplemental research not even mentioned in the videos to accurately answer some of the quiz questions.
By Varun G•
The Course is good, it covers lot of topics but there are certain drawbacks like the accent is not clear, have to read the transcript and other issue is the contents are very briefly explained, need to read it separately on google, if you are not from science background.
By SERGIO D F G•
There waw a lot of information but it wasn't clear or how was related with the previous course. Moreover, most of the quizzes depend of XLMiner and difficulties were encountered by some students with the application in the course.
By Hilary L•
This is a very difficult context to learn how to use a computer program--it's outdated, since XLminer is now called Analytics Solver, and it's very hard if you are having an issue with the program and can't get any help.
By Amani E T•
That was hard for me to understand as I am new in this field and I think I needed a simple basic or a better way to interpret things than that. Also, I encounter some difficulty in understanding the English language.
By Maria E M•
The content the course is really relevant for my professional career but using Excel to perform modelling is out-of-date. Most companies required a combination between this content and tools like Python and R.
By Himanshu K•
Although the teaching method is wonderful. A little bit more content will go a long way. Little more clarity in video lectures is required.
By Martin C•
EL profesor no es muy didáctico y su dicción no es fácil de seguir.
Preferentemente mayor uso de las herramientas de predicicon de excel