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.
por BHOGIREDDY R•
This course helps for people who are intermediate to DataScience. We can explore the popular tools and methodologies used for data science.
por Oedhel S•
Great overview of the most common tools. Definitely worth looking at if you're still trying to figure out what forms of coding to focus on.
por Petko V•
Course content was good. May want to consider updating some of the videos as some of them do not match with what the IBM UI looks like now.
I am so happy and exited to join this online class.This course is so helpful and because of this course I ve learnt too many useful tools.
por Nguyen T S•
This is a very useful course for beginner data scientist. Thanks IBM for making this course and the free tool for data science community!
por Raphael K•
A well coordinated and educative course on data science. Highly recommended for anyone with passion to learn and understand data science
por alexander e•
i learned git and GitHub the easy way and also the layout of the video presentation and hands-on practical lab makes learning so easy
por MADIREDDI G•
I REALLY ENJOYED THIS COURSE. THIS COUSERA PLATFORM IS EXCELLENT TO THE CURIOUS STUDENTS WHO WILLING TO STUDY AND LEARN SPECIALIZATIONS.
por Tom K W•
Great introduction into the tools of data science! I'm very impressed and thankful for the wealth of resources presented in this course.
por Naveen M R R•
The course is really helpful and very much understandable, slow and encouraging. I appreciate it and would recommend this to my friends.
por Utkarsh D•
i have learn so many thing like R studio,juypter and how to visulaize the data etc good course i have recommeneded so much for fresher
por Dave S•
Even though some of the course material is outdated, it forced me to figure things out on my own. I feel that is a better way to learn.
por Simran P S•
Really helpful course, it is really good if you're just starting out and want to get familiar with the tools you might be working with.
Wonderful class！I learn the basics of a lot softwares and packages, hope that I can use them to deal with real problems in the future!
por Hemchandra B•
IBM and Coursera have done a great course here. In 4 weeks, I have learnt a lot of tools which prepares me for the data science field.
por Haley T•
Great course, I learned a lot about Open Source tools for Data Science! I will continue to use Watson Studio and Cognitive Class labs.
por Linta M•
This course is very good i experienced skills network lab and watson studio. How to use Rstudio zeppelin jupyter wonderful experience
por Kristoffer H•
Great course for people beginning to learn programming or veterans who just haven't used the various tools of the data science trade.
por Diego M•
Nice course! Good overview of the tools available in market as well as the use of the IBM toolset for professional Data Science Use.
por Richard B•
This is a rich course, worth your time and money. If you are looking to renewing your skillsets and yourself, then this is for you.
por Ahmed A•
Well designed. Contents and Labs are truly rich. I would highly recommend it for those who would like to quickly enter this domain.
por Romulo T•
Very good course to introduce us on tools we should use to do data science jobs, such as jupyter notebooks, r-studio and IBM tools.
por Obinna O•
A very nice course! Exposes one to the numerous resources out there to help make a data scientist's job easier and more efficient.
por Manpreet S G•
The Data Science experience change to Watson studio is great. However, the videos and instructions need to be updated for clarity.
por Douglas F•
Curso muito bem feito que apresenta de forma clara e direta ferramentas open source que auxiliam o trabalho do Cientista de Dados.