Ratings and Reviews for Capstone: Retrieving, Processing, and Visualizing Data with Python

very Awesome. I have learned much more than I thaught. Best of luck for instructors

The Complete series very well compiled and was very properly curated for the learners. Thanks to Charles Severence and his team from Michigan for their Support and cooperation.

By far the best specialization track to get started with Python. Professor Charles Severance knows exactly how to guide you to well understand what he is trying to explain. Definitely deserves being a top instructor.

I love his teaching style. I would say its truly practical

Nice

Great course !!

Dr. Severence teaches Python in a useful, easy to follow, and fun style that makes it a great launching point for those looking to enter the world of Python, and those looking to enter the world of programming.

I wanted to mention that this last course in the specialization, despite being as great as the other four, has a huge number of typos. I took screenshots of some of them which I can share at [email protected]. I'll try to list those I noticed since I can't paste the screenshots here: — Week 7 > Visualizing new Data Sources - Introduction: This week you will discuss the analysis of your data *to the class*. — Final test: Which of the following lines will never print out regardless *fo* the value of "x"? — Final test: To *insure* that all Python reserved words are properly spelled. — Week 4 > Loading and Modeling Mail Data: *This assignment you will start* the spidering of … — Week 4 > Mailing List Data - Part I: … and it *make* take a few days to get graded. — Week 5 > README: Analyzing an EMAIL Archive from gmane and *vizualizing* the data … — Week 6 > Visualizing Email Data: … we must *be* remember that not all … — Week 6 > Visualizing Email Data: This is also a good time *to remember to remind* those with slow …

A very good course

ok