Good structure, learning progressively helps. Labs are interesting and allow to learn to code. Two drawbacks: 1) very unequal distribution of work, Week 4 was too long, while Weeks 1 and 2 were light; 2) a lot of mistakes in the course, up to the point of sometimes being confusing.

OK overall, but many links to external resources were not working and how-to screenshots often out-of-date for those services. The analysis side was a little light as too much time was spent on the intro to Python. It would have been better with Python knowledge as a prerequisite.

Good course but there were large gaps in information, plentiful typos, and confusing explanations. As someone who educates for a living, I'd say this should likely be broken down into more than one course and the materials should be reviewed for grammar, errors, and readability.

I really like the topic and overall progression however, Week 4 and Week 5 have serious issues with the pacing and the difficulty curve.

I also strongly feel that extra reading and practice on MANY of the topics would lead to better understanding and an easier time (later on).

There are a lot of code unexplained. I would've liked more videos explaining how to write a code bit by bit especially in weeks 4-5. the exams don't match the labs. Overall the course is ok but I can't say I'm capable of writing code like was shown in weeks 4-5. Thank you :)

This course was pretty hard for me who has no computer coding at all in my background. The beginning modules were a good start but to have to read code and write code was very frustrating to me. Great content but not really geared for a beginner; more intermediate learners.

The course provides a massive amount of information in a short timeframe. It gets overwhelming quickly. I also needed to find other resources to supplement the course to get a comprehensive and functional knowledge base to understand the more advanced topics in the course.

the material and movies were good, response from teachers to questions was terrible (takes a long time or no answers at all). the gap between the items learned and the week 5 project was too big. A lot of new things that were not mentioned or discussed in the first 4 weeks

First four weeks are excellent. Last week looks like a rushed scramble of three weeks worth of material jammed into one, multiple errors, final exam had three questions that had various problems with them starting with being unfinished to answers not fitting the question.

First 3 weeks was good and a very fast pace python lesson. When reach week 4 all goes down the rail if someone has no background on data science. Very hard to know what to do in week 4. Don't recommend you to take this course if you have no background in data science.

This course was not great because the explaination was very less and the content was limited. The human touch is very necessary in any course. There was no difficulty level of quiz. It was very easy. The last assignment was moderate. Yep you can go for it if you want

The course itself explains well the content, but the final assignment is a nightmare, because proper and clear instructions aren't given on how to submit it/make it visible online. The assignment submission coding section is much tougher than the course material.

Though basic Python commands are taught. The hands-on session are not covering the knowledge gained in the tutorial. Also, final assignment is not challenging enough. Though I learnt a few starting concepts in Python I cannot say I am satisfied with this course.

The level of the Hands-on labs increased significantly without properly introduced the new concepts. The hands-on lab are a copy of the videos which is not good because discourages in some way the focus needed to learn Python as the classes become repetitive.

I found the course incredibly interesting. However, the chronic mismatch of instruction to assessments can not be overlooked nor can the outdated course materials that are incredibly difficult to translate into updated software versions at the beginner level.

though as someone with no previous experience or knowledge about programming i found it difficult to keep up with some concepts and ideas that the instructor built upon , its the curse of knowledge i guess but overall i enjoyed the experience and the content

Very exhaustive, and exhausting! Would benefit from some clean up, and some more learner-oriented strategies, pacing, and exercises. Overall you get what you pay for, and for someone willing to work extra hard to push through, this course can be beneficial.

The course is good for basic information and most of the time is used in the basic. More high quality and complex examples could be used to enrich the content and provide examples of how to use the tools in more complex environments and with more examples.

The videos and readings are great but the final assignment is a bit sloppy. It cant be solved by just following the guidelines, workarounds are needed that deviate from the suggested ways (selecting the correct endpoint, makedashboard command not working).

While the instruction is mostly clear, the course doesnt allow you to practice and enforce newly developed skills. Many steps are skipped, and all the labs are pre set.To really understand you need to spend extra hours working with information presented.

Overall, the course taught the basics of Python but instructions regarding IBM Watson can be extremely unclear since the notes haven't been updated. Also, the final assignment is kind of a joke since it seems more focused on Watson than material learned.

This is a great course, really useful to get the idea of numpy and pandas, maybe the exercises are easy. I need to say to all the people that we use the watson studio of ibm, using the software may be a headache for many people, read the forums carefully

Good basic introduction to the syntax of Python and its core capabilities. The online coding modules contain a number of errors in syntax. These are small enough that even a student can catch them and make the corrections to make the code run properly.

Some good information - need to spend more time on focused items and explaining some fundamentals. Why do some things need [[ whereas others just one [ what is happening behind the scenes? what is the significance and reasoning for what we are doing?

very good course for python basics as well as for numpy and pandas libraries , the last assignment is not clear at all in the second part for me , it requires a practice for codes that was not explained in the lessons and the description is not clear