To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!
Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.
by SHUO T•
Week 2's quality should be improved, make it more friendly for beginner
by Juan P E C•
Good course, explanation about Git Hub could have been more detailed...
by Shuyuan C•
Very interesting course and you can learn a lot about Jupyter Notebook.
by Ahmad S•
Please update the video content to suit the updated IBM Watson Studio.
by alexander t•
Gives the idea of where to go and how to start using some tools for DS
by Karim A•
Please update the vides to reflect the same environment as IBM Watson
by Filipe S M G•
Interesting to know the available tools (although, a bit repetitive).
by Samantha R•
Nice starting point to learn how to use a notebook in a simple manner
by Joe A•
Good introduction to various tools available to data science novices.
by David P•
An exciting start to the actual work of data science using IBM tools.
by Humayun A•
need to explain what we will learn from this week materials and quiz.
by Navaneetha K R•
Course gives a overall view of how to use various data science tools.
by asher b•
Succinct high-level overview. Still need more courses to get skilled.
by kwaku b•
It needs more real-world or direct workplace data sources to work on
by Robert W•
Excellent course. It was perfectly paced, the videos were excellent,
by Georgios G•
The IBM videos for using the IBM experience module should be updated
by Jeffrey K•
Why not just write with a Jupyter notebook from your own web browser
by OLanrewaju J I•
Insightful thou though but all the effort and extra reading pay off
by Rubén Q L•
Skills acquired from tools like, Jupyter notebooks, R, Scale, Spark
by Prateek G•
Good course on introduction of various tools used for data science.
by Matthew A•
Pretty comprehensive. Good to get familiar with open-source tools.
by Imron D•
I've learned a lot despite the poor quality of most of the videos.
by E. R " A•
I love tools. I love Open Source tools for Data Science even more!
by Felix B•
Very nice introduction which definitely made me want to know more.
by Peter A•
Good course but some of the IBM Cloud material needs to be updated