An enriching and comprehensive exploration of essential data science tools, offering insightful hands-on experience and fostering a strong foundation for aspiring data scientists.

Interesting course, i have learned a lot about open and proprietary data science tools, and discovered how many IBM Tools could make the task super easy if you're into this field.

Very intense but thorough course. A lot of great content. I feel like they could separate this into multiple courses, but understand why they compacted it into one. Great overall!

After going through this course, I have gained multiple open source applications knowledge. I believe one who needs to be a data scientist it is crucial to know the tools as well.

Good for pointing you towards free open source tools to practice developing in for both Python and R. Also has a nice introduction of how to use some basic feature of these tools.

This course creates a friendly environment to learn Jupiter notebook, Zeppelin Notebooks, RStudio and IBM Watson Studio step by step.

Course materials and assignments are great!!

I was really excited to dealing with IBM Watson Studio through the Internet. Also, given IBM Badge made me feel very worthwhile about learning. Thanks for this practical lecture.

The information is clear and allowed me to complete all the activities, just be aware that the IBM tool is not upgraded in the course so research and web navigation is mandatory.

Once I enrolled in this course I had no idea about Data Science tools. This course is the best for who don't know anything in Data Science tools and very beginners in this area.

An invaluable hands-on provision. I feel as though I am adequately hatted with the basic skills and equipped with the efficient tools for my next steps in pursuing Data Science.

I would like to thank you for the good structure the course has and of course the material is very well explained. It lacks nothing in terms of content from an in class course.

I learned about a lot of tools that I hadn't heard before. The course walks through deep insights into IBM Watson Studio and every aspect of it. This is a very detailed course.

the course was a nice experience for me. the instructors were simply outstanding and they way they taught was supper good. I feel proud and blessed to be a part of the course.

This IBM data science course is verry good course . I recommend to all . great course i love it. just complete my second course tools for data science. i am happy till now.

Coursera is a wonderful platform for housewife's . i am so excited to fullfil my everyday assignments during this course. Thanks a lot for this wonderful team. Thank you.

intimidated to learn the analytics tools and worried i was too much of a beginner to take this course on. It was very easy to follow the steps 1 by 1 to learn these tools.

I use a chromebook and these tools were very helpfull for someone who is new to the discipline and cannot reliably boot a python terminal or R studio on his primary machine.

This course gives good information about tools used in data science. The assignment given for the practice are good and help to improve hands-on tools used in data science.

This was a fantastic course. I managed to learn a vast set of skills in both Skills Network Lab and IBM Watson studio. I recommend Coursera to all of my friends and Family.

Great course for understanding the essentials tools required to implement Data Science. Juypter Notebook and Zappelin Notebooks are the most preferred Notebooks to work on.

A great opportunity for middleclass student to jump in Data Science filed

i am very thankful and humble to all of Coursera team they develop a amazing training system

Brief introduction to manny useful online tools for data science. Although it seems to be easy to accomplish this course, it really helps me learn more about data science.

This course is primordial to meet the tools applied to the slim courses. Explicit concepts and ease of access in the course. Course clear, structured and of great value.

It was a great experience!! I had a great time learning how to create a new project, then a notebook where you can write codes using Markdown Cells, Headers, HTML,etc.

Makes you familiar with the software tools needed to write code in Data Science. It is not an programming class but rather a great tutorial around each piece software.