LD
Oct 23, 2019
Its was great experience in completing the project using all skills that we learned in the course, thanks to coursera and IBM for giving me an opportunity to update my selft and also to test my skills
CS
Jun 15, 2023
It's a great course to get a comprehensive background on Data Science (including ML) and lays the foundation for more advanced courses. It touches on all the areas that are required for data science.
By Yogendra P S
•Apr 15, 2020
It was a great time learning here, All the modules were so arranged that very easily and smoothly one can learn typical topics.
By Stephane D
•Jun 28, 2022
Great intro to Data Science project !
With a coherent methodology. A lot to learn.
Too bad the dataset is a bit small. :-)
By Chris G
•Apr 6, 2019
Challenging course that allowed you to apply all that you learned. Forced to learn multiple APIs to complete final project.
By Aryan R
•Jul 13, 2022
This course and the specialization overall, if done diligently will definitely teach a lot of things and help going forward.
By WingSingLeng
•May 7, 2022
Thank you so much, it was an interesting and the only part has to review was that some instruction was not clear or precise.
By Brent A
•Jan 31, 2022
A thorough recap of all aspects of the Data Science course set material. Enjoyed it very much and received a lot of value.
By Lee Y Y
•Feb 9, 2020
A comprehensive content and project makes me understand a lot how a data scientist works and presents in a sophisticated way
By Snehal G
•Jul 6, 2020
I love this course. The well-organized content and quick Coursera team technical quick support. Thank you for your support.
By Hadi S
•Jun 14, 2019
This course gave me a great opportunity to work on a practical case study involving data wrangling and predictive modeling.
By Muhammad H
•Feb 18, 2021
learning curve is a little bit steep but it's amazing and encouraging you to learn more and push yourself beyond limits :D
By Shreayan C
•Nov 29, 2019
Really informative course, got to learn many practical applications of data science and made a really interesting project.
By Manula V
•May 28, 2020
It;s a very good assignment for us beginners to start with Machine Learning and get hands on experience with Data Science
By Tanmaya C
•Apr 28, 2020
I just say that it's awesome to learn these thing via building with my own. Thanks for the course instructors & coursera.
By Rodney C B
•Apr 6, 2020
Good course and practice scenario that make use of the skills, tools and methods learned during the entire certification.
By Anuar M
•Mar 29, 2020
Excellent capstone project, it provides me with ability to apply what I have learned throughout the data science courses.
By Yu-Chi B
•Jun 21, 2019
It's a really solid course. Take me lots of time but also let me learned a lot. It can improve your self-learning skills.
By Sébastien W
•Dec 3, 2019
I found the level of the exercises and projects appropriate, at least what an aspiring data scientist is supposed to get
By Oleh L
•Apr 28, 2024
Big thanks to IBM for offering such a fantastic course! It's been incredibly beneficial for my professional development
By Jian W
•Sep 2, 2022
It is a well designed and contructive course which is a piece of precious stepping stone kocking door of data science
By Kevin C
•Jan 21, 2020
This was a great course. Being able to apply all of the knowledge gained from the rest of the specialisation was great!
By Kristina V
•Aug 29, 2023
Very useful course staring from the scratch and finally building the prediction model based on data you have obtained
By Amol P
•Jul 16, 2020
It is good training session and real time example for fresher. thanks a lot to coursera for such type of certificate.
By Vivek K
•Nov 2, 2019
I Appreciate IBM to Provide me such a Platform. Awesome experience and learnt a lot of things. Thank you once again!!
By Joseph M
•Feb 25, 2022
Challenging course, that allowed me to explore a lot more opportunity expansions for my focus as a data scientitst.
By Hai Q P
•Oct 2, 2019
The process helps me a lot not only in writing python code, but also create stories through report and presentation.