Learning Python for Data Analysis and Visualization (Udemy.com)

It is very Good Course for beginners and intermediate students and professionals.

Very good work on the flow of the course and the knowledge given!You have to update it for Python 3!

Not so much about data visualization as I expected. Mostly it's about numpy, pandas, an overview of ML and a little bit of everything. I wish I could see here more about visualizations for some practical reasons: dashboards, cohort analysis, etc.. And could be also more about libraries like plotly and bokeh, not even mentioned.

Awsome, Project lesson is well explain & I am able to know how to implement the code learn in previous exercise in real world example.

excellent explanation, but it was better if there were some assignments between lectures, so it wouldn't be boring some times during first lectures.

Few videos with low volume is the reason for low rating. Video 70 in project 3 has as good as no volume. Nothing to listen will lower ratings. Jos needs to replace those videos with new ones

Usually I live Jose`s courses. But this time it's not working...1- The codes are outdated. You will get a lot of troubles coding along. Without support for new codes...2- I am having a lot of trouble grasping how python works. I've being using R for sometime and for me I am not making the best of this course so far due to the lack of depth.Maybe if you have more knowledge than me you can take much more from it. But I do not recommend if you are a beginner.

Never have I seen a course with so much dated stuff. Python v2.0 all the way, when it's soon to be deprecated. Methods in sklearn and seaborn, many of them deprecated (just google catplot, no long usable) and all links to youtube referencing other additional info is no longer available. This course, although Jose Portilla *is* a respectable programmer and coder, this course in particular should have been made unavailable long ago, or at the very least, warned the customer that this aims for Seaborn < v0.2, "No module named 'sklearn.cross_validation'", Python 2.0, old code in general.

The modules are not up to date in the projects given. The content needs to be modified timely as the modules are updated frequently .(they should specify an alternative module which was replaced or atleast provide the links)

It is a very good course. It was also my first course about machnie learning which is unexpectedly the same thing I was studying 8 years previously.Course has a lot of interesting additional materials and a lot practical projects.Thank You!

It is good but the tutor could have gone in more detail on explaining how the functions work like this. For example np.empty, A*B and np.dot(A,B), webbrowser library

The course has great content. However, Python 2 is coming to EOL. Jose needs to update this course wit Python 3 and the newer versions of seaborn and matplotlib.