I love this course as it gives me the foundations of learning the Python coding program and relevant statistical methods that used for data analysis. It's really interesting course to attend to.
184/5000\n\nConferences of very good quality, and the platform for practices is really useful to put the theory into practice. I recommend this course if you want to start in data science.
von Chintoo K•
It was a great journey to get through it. Thanks a lot to all the instructors for their valuable job and effort :)
von Jason A•
Good intro into K-means clustering. Some great introductory math tutorials and basic python programming.
von Gangolli, V•
It is a good one for the beginner who is ready to give dedicated time.
von Yeung K Y•
Good content and I would recommend my friends for it.
von Bhawna D•
More time should be given in the coding part.
von Jaison M•
Very good if new to data science
von DIVYESH M•
Nice course for New learner
von KASIVAJHULA S K•
von Jonathan B•
All the statistics and k-Means algorithms are well explained, but there is much missing guidance on how to conduct the final project.
von Ryan N•
Mathematics taught is very abstract. Not many practice examples and linkage to practical side. Not much guidance on guided projects.
von Anton S•
Good introduction to k-means clustering using Python. Easy for follow.
von Naveed K•
It's a good course but data cleaning should also be included...
von Gagan P P•
Good course.. But self study also needed...
von Margaret M L•
You should be able to transcribe the code which is presented into Jupyter Notebooks as is. This is now the second time I have done so and I am guessing some of the needed code was left out as the code does not work. How can students be expected to complete assignments when the Instructor's code is not reproducible?