Difficult, but i'm glad to tried and completed. Thanks to all, who created this course.

Too much theory and no excel learings.

Too much math makes it difficult to comprehend. I like week 1, basic excel also practical and easy to understand. But after week 1 everything becomes super confusing... The frustration is real.

The course is very useful. I can learn how to build an effective binary classification model to support for my decision-making process. All learning materials, especially Excel files used in the course is very detailed, greatly assisting me in understanding what the lecturer talk about and how to calculate in Excel.

ccol

One of the best course that i have ever done. Just make a patience and repeat the lecture if u find any difficulty , every time you realise that you are increasing your capablities or knowledge in Data Analytics sector.I will surely recommmcend this course .

The course is designed very well and digs deeply into the usage of binary models. It will be great if more contents are offered about the multi-factor regression model.

The course is quite challenging and therefore worth doing. The materials provided are excellent and the video tutorials and Professor are excellent - but make sure you pay attention!

However, I was a bit disappointed with some of the quizzes particularly those in the final project. The penultimate quiz and peer assignment quiz do have problems. The penultimate quiz answers are not accurate and do not match the actual correct answers. You therefore need to be careful when responding and choose the answer that is closest to your result. On the peer review problem setting there are certain aspects required in your answer that are not defined in the problem. Indeed the way the problem is set out it appears that you can choose between predictive linear regression OR binary classification. Beware.

Also I would strongly recommend finishing the course work for week 3 AND 4 BEFORE taking the quiz on probability and distributions.

The course is very enjoyable. The mathematics behind is sometimes challenging. But the Final Project makes it all worth it.

The course is very poorly laid out. You are encouraged to work on your final project each week during each module but you don't learn important key elements to complete the final project until later in the course. I enjoyed what I learned in this class, however, stating there are no math prerequisites is misleading. If we were taught the concepts only in Excel, that would be one thing, but to hand solve these statistics problems by hand it really hurts the learn because the professor is speaking above most everyone's head.