The course is good. What it lacks to get the 5 stars is to be able to download the slides of the classes or to have a documentation.

It is a really insightful and interactive learning experience. Furthermore, the trainers and coaches were very knowledgable.

It was good course which help me to understand data cleaning , Feature engineering , EDA , and basic of statistics .

The Week 4 was too hard to understand for beginners in Machine Learning/ Data Science related Statistics.

Really good introduction, it can improve with better references than wikipedia to deepen in the subjects

In week 2, the lessons were a bit in rush and it would be better to have a bit more detailed discussion.

It was ok, the information covered was helpful and plentiful, but the instructing was kinda meh.

Very Nice course , will teach you in detail all the techniques of EDA with practical code.

Was able to learn and practice many topics in this course. Very useful for Data Analysis.

Good instructor, good knowledge level, minor mistakes in some of the notebooks provided.

Great examples, nice explaination, labs were the best! Thanks for this course.

Good introduction. Quiz questions mostly on terminology and not understanding.

Some videos has poor quality , but overall information is definetly useful

Very interesting course, good for getting ideas to deepen the topic!

It was important to put my prior knowledge into a proper context.

Really well-structured and easy to follow. Exercises are helpful.

It's a very good course, special mention to week 2 and 3.

I enjoyed the course, the example code/labs were awesome

video should be made more engaging, but content was good

Good introduction and Exploratory Data Analysis course.

There are some algorithms over seaborn in deprecated

A good background in math and some python is needed.

I wish the hypothesis part was a bit more detailed

The explanation could be more detailed and clear

Very nice explaination....really very helpful