Seemed a bit rushed towards the end. Advanced topics such as pipelines, polynomial transformation, etc were not explained clearly.

Labs are particularly useful. Assessments could be more challenging but the course content and labs combination was very helpful

content is great.playback speed can go bit slow for students like me from India language is bit hard to understand at that speed.

Give a general overview of how to do data analysis with a brief intro of how to apply machine learning in a real life scenario.

Some areas were a bit complex and required additional reading outside of the content provided but overall I enjoyed the course.

Great course explaining some data analysis techniques. Some minor errors in voice track and material, but overall good content.

The course was really good. But I would've liked to face more problem statements to practice what I was taught in this course.

Good Course. But many content's have been packed in this small one , I guess additional reading content could have been given.

muy bueno, este curso deberia ser el 2do o tercero en esta seccion, se ve bastante de lo que usa un data science normalmente!

Good for an individual who is passionate about data science

Thanks course era for providing the course

#datascience enthusiast

This course give a brief Understanding Of Data Analysis with python. Thanks to the IBM for making us part of The IBM family.

This is the good course for beginners. Great Explanations for pandas, EDA and scikit learn model analysis. Good to try this!

This is an excellent for anyone who wants to learn about analyzing data and preparing and training the model,visualizing it.

It was good, could've been a little for detailed and with a few more examples but it was still great and easy to understand

Very clear and effective course to get the basic principles of performing Data Analysis with Python. Highly recommendable.

Great experience but some concepts are hard to understand for beginners especially regression analysis and week 5 tpoics.

The course content is good. However, some ready to use short notes type material should be provided for future references

While the course was generally well-explained, there were instances where it might have been overwhelming for beginners.

This course started getting challenging, more so compared to the previous courses in the Data Science Certificate track.

Actually I don't think there are enough coding practices, but the videos are great learning materials for new starters.

Good course! But needed some more practice on Pipelines, Multivariate Regression, Grid Search CV and Ridge Regression.

Well structured, good detail. Lacking a peer graded assignment at the end to really put our skills to the test though.

It was good experience specially the lab environment is very user friendly and very good work for practical knowledge

This is a tough course for beginners. So instead of playing a presentation they should look up for a good instructor.

This is good to understand and plot the data using Python. Most of the course and test are revolve around statistics.