Worst course I have ever taken on any online learning platform. The whole course is basically an advertisement for the IBM Watson Studio and other tools. The course content only focuses on giving introductions to all the tools and there are many tools that we have to remember. I don't recommend this course to any person.

There is a lot of confusion while opening a watson account. I faced lot of troubles and still I am unable to access my watson account. I even generated a thread in discussion forum but i was given any satisfactory response.

Highly disappointed with this Course.

too theoretical. I don't want to learn the tools by heart. I want an idea of the interface and how to start approaching each. A case study of a mini project going from tool to tool until completion would be the most interesting showcase.

The course is way too basic to pay for it, you can get better value for your money somewhere else. I had too many issues with Watson Studio and the support I received from the tutor/assistants was repetitive and not helpful.

not good at all. when i couldnt use Watson studio and it keep message me that i havent active account while i had. and there was nobody to ask or solve the problem. so, it was useless. i dont keep lerning with IBM

The sections on Jupyter, Python, and RStudio tools was very hard to follow and unclear why we were performing the actions. The presenter was very knowledgeable but was unclear how it would be applied.

It's the worst experience ever!!! The "teacher" doesn't help you, support doesn't help you. THIS IS A MESS!!!

I want a refund!

You are forced to learn some of the Watson functionality, which is not useful for most students. Ridicules for paid study.

The videos about GitHub were lack of pedagogy. fast, not clear and the subtitles in most of the cases did not match.

Horrible course. It felt like a commercial for IBM products rather than teaching you how to actually use tools.

Is it adv for IBM? I didn't learn, and I feel like I paid for an ad.

Not useful for a beginner without CS and programming knowledge!!

It's some kind of advertisement for IBM products

loss of money

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how touse them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data andCloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their featuresand limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. With the tools hosted in the cloud on Skills Network Labs, you will be able to testeach tool and follow instructions to run simple code in Python, R, or Scala.

This second course for the specialization program for Data Science is really helpful, informative and very practical. All the instructions are clear and precise when it comes to use tools like Jupyter Notebooks, R Studio and GitHub. The videos are well made and the labs will let you gain important practical experience. The way you can do the labs on the cloud and are guided through them is wonderful. Step by step instructions. The discussion forums are helpful as well. I was a little afraid of using GitHub and Jupyter notebooks and Jupyter-like environments, but now I know it is not that difficult. I now know the basics. And the basics are the fundamental ideas for you to keep going and learn in the future. Also, the explanations about libraries, languages, open-source and commercial tools, and data science categories are clear and let you have a very informed overview of all that.

I'm giving this the 5 Star review that it deserves, even though I ran into multiple issues when setting up IBM Watson Studio. The application from the video differed greatly from whatever version of Watson Studio that I had logged into - as if the video content was outdated. This made the navigation of the setup very cumbersome and time-consuming and it also hindered and delayed my ability to complete the assignments. However, everything else was either on point or better than the training materials (specific to the DS tools) that I had previously used. It appears that other students had completed their final graded assignments w/o any issues, judging by their submission date after I was tasked to grade their projects...

This was a big boring or time consuming Courese. I invested like 3 months in this course as lost intererest in week 2 or end of week 1. There were so many names of Softwares and Tools which I though are very imporatant and to be memorised thus I was not aware do I really need to remember them or they are for information purpose only. As for rest of the course where Jyupter or Watson Studio Lab comes in then the course get intresting and there was definately fun things to learn about. I even made few notes and posted it on my website tapishdongre.com which will be definately useful in the future while working. In short Week 1 and Week 2 is Boring, Week 3 and Week 4 are Superb thus giving 5 stars for the overall experience.

I really enjoyed taking this course! The well thought-out and thorough course content kept me captivated through the whole course! I really appreciate the effort put into helping us students learn the most current technologies! Since I've recently finished a course on Machine Learning, I do have a suggestion for possible improvement of IBM SPSS Modeler's Analysis Node. That is to show calculated precision and recall, in addition to accuracy; especially when there is a low probability of occurrence when accuracy value can be misleading. Thank you, again, and may the love, joy, and blessings of our Lord Jesus Christ be with you and all who take this course!

This is the first course I have completed on Coursera. Overall it definitely meets its objectives. It is written for beginners and it indicates so in the course description. Yes some of the materials are a bit out of date but I do not find anything impeding. At times, for examples, during the setup phase for the tools, I felt stuck and the fact there was no one around to answer questions made it more challenging. However, part of the learning is to deal with uncertain situations and prepare us for the future. I did feel more satisfied when I finally overcame the challenge.

There is a great deal of overview information in this course regarding the various tools and platforms for data science. I was excited to begin working with Jupyter Notebooks and Watson Studio and was completely thrilled to learn about the other tools available, which I also intend to learn. I had not realized what data science was and what one can accomplish through it prior to taking this class, and I see endless opportunity for applying the framework. I cannot wait until I learn enough to actually begin applying these skills to real world problems!

This course is really good to get some basics of the tools but if you want to get better in these tools you either need to have basic knowledge of computer programing prior or you need to explore each tool yourself and give it huge time.

I would suggest the course organizer give some optional practice materials so that people can practice it and get familiar with the tools. Also, the course videos introducing IBM Watson studio are a bit outdated with the current website interface so some times it can be a problem to understand what to do.

The course was very helpful and concize. It focuses on getting the learner familiarized with the most common tools used in data science and the ways they can be accessed through open-source software. My only feedback is on the tests. It seems to me that many times they focus on concepts explained once during one of the videos or texts, instead of focusing on the parts where the learner is engaged practically. I would suggest to modify the questions or to add a few intermediate activities where we go over those "theory" concepts once more.

It is a good course. Lot to learn about Data Science. There is a small problem at times. Like the IBM Watson Studio instruction do not match with the actual website. BUT this minor small problem is easily over come. As I am discovering. The IBM's website is being upgraded for GOOD REASONS. SO even if there is some mismatch in their video instructions, no problem !!! One can find newer relevant answers on Google search or on FORUMS. Which is very good in learning to overcome minor difficulties. So Overall VERY GOOD as I am also learning.

I love you Coursera, I am really thankful for the Coursera community to provide us the course is free of cost. so many students like me suffering from financial challenges and Coursera provides us the very best course free of cost. thank you very much, Coursera.

I want to tell about something about this course, this course was really awesome and able to understand all the concept of opensource tools for data science like jupyter zeppelin and IBM Watson. this course is very helpful for me. Through this course, I learn a lot of things.