Modules 2 and 3 were a little bit confusing as they were showing feature for different programs, but most of details and concepts are to be explained later in this course which made some lessons hard to digest

I think that this course needs to be re-engineered. The videos are outdated and the videos jump right into the programming without explaining why you are typing out this code. It is not a course for beginners.

This course needs update. The current IBM environment and Tutorial examples are not matching and confusing. It also leads to crate multiple account with IBM.

Otherwise good intro to the tools and environments.

Interesante porque dan un panorama general acerca de Jupyter, compilación y lenguajes que soporta como Phyton y R. Al ser un curso ofrecido por IBM la herramienta para las tareas es de ellos, Watson Analytics.

A good overview of the various open source tools available. The videos, however, did not always match the material which made it confusing here and there. I am aware they are currently working on fixing this.

this course had a lot of items that I did not feel were beginner level. Most of the labs involved some coding, or language that was not discussed prior to the labs. I felt lost multiple times in this course.

The resources are very helpful, but the commentary sometime does not always helpful. Sometime the commentator missed to announce the new slide title, or go goes not give pause while going in the next slide.

Good course and training however it gives huge information about many tools, beginners could be easily lost in my opinion, the course should focus on the main data science tools such as : Python, Sql, R.

Please try to make more details lecture on specific IBM data science tools and short brief for others rather than short brief for every tool. Six to seven week video lecture will be better in my opinion.

I think the tutorial for the IBM watson studio needs to be updated. The tutorial was on data science experience (DSX) which isn't available on the website. This made this part of the course hard to follow

Course needs an update: still working with the old platform. It gets you confused when you log in and see that they now work with IBM Watson on one screen and screenshots of the old platform on the other.

The weeks 2 and 3 serve more as a commercial catalogue for IBM than to learn Data Science. I'm keeping strong in order to claim the professional certificate, but this course was tough and disappointing.

The video lectures are outdated and are in dire need of updates. I found myself lost at times, as the current version of Watson does not match the version shown in the lectures. It was a bit frustrating.

Its a lot of good information, but it's a bit of information overload. Although I managed to complete the course, I don't feel like the setup enabled me to absorb nearly as much as I would have liked.

videos are someway useful. But I have faced difficulty to find IBM Watson Studio. The Link that was shared in the videos are not directing to the actual watson studio link. Please add the actual link

This course is announced as a course for beginners without previous background in programming but it contains information related to the list of programmes that we are supposed to be acquainted with.

the course need to be updated. some of things are explained easily but as a beginner it takes lots of time for to understand things. It will be beneficial to the beginner's if the course is updated.

It is just a marketing for IBM's cloud platform. Plain and simple. However they introduce someone who NEVER seen anything in programming to start looking for available tools. Very shallow knowledge.

Too much info. Good for overview, but impossible to remember it all. Some quiz questions should be revised e.g.: Question 2 Is Keras a machine learning or deep learning library for Python? (Yes/No)

Instructions for IBM Watson are outdated. Would prefer more content on doing work in Jupyter notebook rather than watching videos and answering quiz questions. Learning in accomplishing by doing.

Sometime I feel that I am lost in those videos about R and Zeppelin. One video starts doing something like uploading a file and the next one makes the overview of the tool when it should be first.

Introductions are quite brief and assignments are not challenging. You may need to spend quite extra time to really get to know how to use there open source tools. But still a good way to start.

Very useful course, great way for anyone to familiarize themselves with open source data science tools. The videos are outdated, however, which made it difficult to do the assignments at times.

Se debería de facilitar documentación bien estructurada y editada, en pdf de todos los contenidos del curso, no sólo las transcripciones que además muchas veces están mal traducidas. Gracias.

This is supposed to be a course for beginners but the amount of advanced concepts and tools they throw at you with no explanation is staggering. A pity because otherwise this could be useful.