This course has to be the best Data analysis course on Coursera. The explanation is to the point. A prior knowledge related to statistics, probability and discrete mathematics is very important, because the instructor assumes that you already know about the same. Superb course altogether!

This is a real useful course which helps even a rookie to understand the nuances when it comes to Artificial Intelligence, Machine Learning. Interpreting Data etc.,

Subjects were taught well by the experts. I thoroughly enjoyed the learning session.

This course is exceptionally the best one if you are complete beginner to Machine Learning. They'll start of from the basics/scratch and take to to intermediate/mastery level. I highly recommend this course if you're complete beginner.

Very! very!! interesting course, I really enjoy it, I will continue to put more effort into acquiring new skills as much as possible. Thank your IBM and Coursera for giving me this opportunity to learn through this platform.

Thorough, clear video lectures, and good, meaningful exercises. An excellent introduction to the topic of Exploratory Data Analysis and figuring out the general characteristics of any given dataset and its features.

A solid introduction to data analysis. There is a small note: the instructor uses a new version of pandas. If your notebook produces errors which are not suppose to appear, please update your pandas library.

With my background on probability and statistics, I think this is a good course, where it can help me apply what i have learned. Not recommend for any one who hasn't taken a statistics course before.

Excelente como primera iniciativa en el mundo de Coursera empezar IBM. Claras las explicaciones de todos los videos. Muy buenos notebooks para el seguimiento de los temas aprendidos. Excelente!

Very detailed course of Exploratory Data Analysis for Machine learning. Ready to take the next step in data science or Machine learning, this is great course for taking you to the next level.

The instructor are great to demo and teach what it is. He sounds professional and the notebook are useful and the example are essential with guiding the questions 1 by 1.

The course includes hands-on exercises that allows us to apply the learned EDA techniques to real-world data. This practical approach helps solidify my understanding.

Very nice course which explains beautifully about data cleaning and the statistical approach and then statistic model and then it ends with the hypothesis testing.

This course was really good for me because it went into depth on what I believe is the most important part of ML which is the data analysis and preparation.

Good introduction to the workflow in EDA for ML. I appreciate the code examples that provide a useful reference to code syntax and some practice with EDA.

This course was amazing. I always assumed that EDA was the challenging part of ML, But in this course I found it so cool. can't wait for the next course.

Very helpful for beginner but must have some basic knowledge on python and other libraries such as sklearn, spicy, pandas, etc,....

Thanks very much!

This is by far the best course I've encountered. It has an in-depth explanation of the codes they provide. Smooth and easy to understand language.

The instructor from videos is amazing. Great tutor. So far the courses from IBM Machine Learning Professional Certificate are really, really good.

The course content is very elaborate and fantastic. Thank you so much IBM, this is just what i've been browsing the internet looking for.

I have learnt a lot of success artificial intelligence supervised machine learning hypotjesis testing Bayesian testingLtesting eeteetcet

I really liked, that you need to spend time on the independent work which consists of data preprocessing, EDA, and hypothesis testing.

Look, I'm very happy to do this training, thanks for the opportunity! Keep supporting and making room for us the less favored.

Thanks.

This is a well-structured course with easy-to-understand lectures and practical examples that help a lot in real data analysis life.

Very Clear ,Easy to Understand ,Good Explanation,Very Good Course.I just Upgrade myself doing this course.Thank you IBM Teachers :)

Very well curated course. Walks through all the topics in detail. Would be better if the professor had a little bit higher voice.