Excellent to teach you the basic, for working with data in python. There is quite a lot of knowledge in this 5 weeks and maybe a bit to little practical exercise.

Gives you and overview of Python with just the basics. Further exploration has to be done by the student to explore various concepts. A good start for a beginner.

El curso es muy bueno y bastante completo para iniciar,un poco duro de digerir (entender) y seria excelente que los labs se pudiesesn descargar tambien. Saludos!

If there was more practical practice and maybe teach the the code that was used to make the dashboard will be good and also teach how to use object storage ibm .

Good for people with no experience programming, extremely basic for people with some experience.

The examples and excercises could be more thorough and difficult.

Great introduction to using Python for Data Science. Material needs to be updated a little but the lessons are great to teach you how to form and retrieve data.

It was a great opportunity to get through this course .It helps to understand concepts and methods to work on it.I recommend it to everyone and keep learning ..

I think it would help students if there were articles about the concept which explained in the video lectures which are used in real life to solve some problem.

Very nice, only it is very brief and you need another source,

also, you need to go and register and use the IBM platform which is complicated and time-consuming.

A very good course with a lot of clear information on Python fundamentals. Although the labs are good, more and more exercises would have led to 5 stats rating!

This course is good to learn the basics of Python. In addition, more work can be assigned to learners in hands -on-lab in order to understand the code deeper.

This was a nice refresher on python for an experienced javascript engineer. The high speed videos would be pretty tough someone just learning any programming.

A number of the skills network labs could not run because files or some module could not be loaded. For instance in the data engineering and web scraping lab.

First 3 parts (week 1-3) are awasome explained. Rest (week 4-5) could be more detailed (more step by step with clarifying what specific funcion or phrase do).

Slightly out of date at times, but the basics are definitely there, and if you're willing to dig around the forums you can get all of your questions answered.

Although Data Visualization course comes later in the queue, still more detailed introduction should be given by means of Video aids. Overall course was good.

There are a few videos where they rush up things which is not ideal for beginners, except for that, its an amazing course to get some basic idea about python.

Week 5 assignment needs a few more understanding theory parts or videos and week 5 must be updated to it's new ASAP for the other students taking this course.

Course content and section quizzes are bit too simple comparing with the final assignment, the external tool Lab is not very user-friendly from my experience.

This was a nice ramp up course that familiarised you well with the basics. However, I felt that the cognitive labs environment spoon fed me a little too much.

On the whole, it is quite alright. But I feel like some of the topics are rushed. It is up to the learner to go and find out more if they are still confused.

I really liked this course. I've learned a lot, unfortunately at the final exam the formatting for the code went bad and therefor was very difficult to read.

the teaching was very fast. To be a beginer coures please make it more simple. some of the complex things are taught in hurry. Please teach in a slow manner

If you're looking for a course that can pave your path towards data science, then this is it! just go thought it thoroughly and do the assignments sincerely.

Good course with concise information. I just wish it was explained with more examples and more in-depth. Overall, it was really informative and entertaining.