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.
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!!!!
por Julien D•
I really liked this course. I had no problems at all. I also liked Romeo Keinzler. But, I think this should be labeled an Intermediate level course.
por Anar A•
Very interesting because most of the course based on practical. We started to use 4 different data science platform free and practice. Thanks a lot.
por Abigail B•
This provides a succinct and brief overview of some of the biggest open source software out there, including Python, RStudio, and Jupyter Notebooks.
por Agnieszka K•
Very cool course introducing you to open source environment where you can analyse your data sets, learn and practice, and deliver as data scientist.
por Etta Q•
A great material to get familiar with Watson studio, which combine many kinds of languages. IBM cloud is also a good place to hands-on your project.
por Sunny .•
the course is design very well. In this short course, i learnt lot's of things and it's truly appreciable to all the content designer and teachers.
por Mehreteab Z•
Course was well prepared. Videos very helpful. Exercise questions also help to measure level of my understanding of the subject matter.
por Reza A•
This is a good course in order to be familiar with different parts of data science and relevant tools and application. For me that was amazing! :)
por Juan S B O•
Very good and interesting course , you can put your hands on real tools for data science and learn a lot about this tools to apply to your career.
por SACHIN G•
The course is made in very simple language, anyone can learn from this course. The most amazing part of the course is Lab. Love you IBM & COURSERA
Happy to learn the tools that were somehow new to me. It was great to practice as well and good explanation of tools were provided by instructors.
por TAN W•
The IBM platform seems was updated and not the same as the description in the course video, if there is an updating it would be perfect. Thanks.
por Rahul K•
This Course is very important if you want to learn for data Science tools, there are the best tutorials here about the explanation of the Tools
por Costik M•
Not so easy but totally worth it.
Gives you basic idea of Data live cycle in industry and what are the most known and used tools to handle it.
por Saad M•
Videos are outdated, as well as its very hard to figure out that how to work with Watson studio, because there free version is full of issues,
por Sounak S•
Had a great experience on learning about open source tools used for Data Science and working on hands on based projects on IBM Watson Studio.
Un buen curso sobre las herramientas IBM y Jupyter, aconsejo en este curso empezar a ir tomando nota para no perder detalle y quedarse atrás.
por Husayn Z A•
I really enjoyed this course. I loved the explanation of the videos and the assignments weren't too hard either. Overall, I really loved it.
por Susan A•
I found this course very informative... I knew very little about all these Open Source tools available to Data Scientist for analyzing data.
por Jean P G M•
Me pareció excelente, porque he aprendido mucho, además que he podido conocer herramientas que son Open Source y que puedo usar cómodamente!
por SELEMANI S J•
Great Introduction to open source tools for data science. The hands on labs they were informative and just perfect for introduction purposes
por jovitha A•
Excellent! I learned various open source tools for data science successfully and now am able to use the tools. Thanks You IBM and Coursera.
por Jennifer B•
Great to separate the tools and environment in this way, so that working out the tool doesn't get in the way of learning the content later.
por Nur C N•
I love the hands-on with IBM Watson and Skill Network Labs, it's really helpful without set-up my own local environment. Love it so much!!!
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.