RP
Apr 20, 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
VS
Jan 31, 2022
This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.
By Annissa Z
•Sep 11, 2020
This course is simple though practical to the real problem. It harnesses my fundamental skills on data analysis with practices.
By Shiv k
•Jun 8, 2020
It was very informative and data analysis is explained from basic to high and the explanation of each and every topic was clear.
By Robert A
•Aug 29, 2021
Great learning experience. A challenge that had me go back and review the material several times, and improve on my learning.
By ACHAL P
•May 13, 2020
This course is really useful for those who exactly wants to know how data visualize and normalize and how we predict the data .
By Periklis K
•Jan 2, 2020
This course is an essential fist step that you should follow if you want to get a good and thorough introduction on this topic!
By Alfonso P
•Aug 22, 2019
Excellent Course, develops data Scientist skills associated with the methodology associated with the Data Science Certification
By AKHILESH Y
•Apr 7, 2024
Excellent course with practical assignments and clear explanations, greatly enhancing understanding of data analysis concepts.
By Mayank S
•Jun 4, 2020
This course has been very helpful for me. I've learned so much in this course. Thank you to the team for making this worth it.
By Kadir Y
•Feb 13, 2023
hard to learn from scratch if you are a beginner but perfect to recap what you've learnt and can't get completely understood.
By Sze M C
•Oct 22, 2021
awesome content, a quick summary for the pros, cons, purpose and comparison between the 3 main topics will help comprehension
By Samuel K N
•Aug 23, 2021
This course is a little more specific coding wise, great to learn some of the principles behind model creation and analysis.
By Sagea T
•Jul 31, 2018
It is a very challenging course, I would've like a course project to practice and utilize all the skills taught in the course
By Sergio E A G
•Mar 28, 2024
Superb!! It structure is by far the best. Furthermore it is well explain and with enough labs to practice the new knowledge.
By Ritika B
•Feb 11, 2022
Beginner Friendly course. Helpful in the terms of simple concepts of Data Analysis. Good course to get started in the field.
By Elijah
•May 30, 2021
This course could not be much greater. I enjoyed every bit of it and learnt so much. Thanks IBM for such a wonderful course.
By Nick
•Jun 3, 2019
There are some important concepts covered (hyperparameters, training data), the visuals are good, but the tests are too easy
By Elisa B
•Jan 31, 2025
This has been the most difficult course so far, and I really like it. It is amazing how many things can be done with Python
By Ignacio F
•Feb 23, 2023
This course provides you with the python code used for conducting regression analysis and visualizing results. Nice course!
By BIBHUTI B B
•Nov 9, 2022
It was very helpful for clearing my fundamentals. Coursera helped me to get the course for free and I am thankful for that.
By Amol G
•May 14, 2020
very good course and i have learn lot of skill of data science from this course
also it contain very good project at last .
By Lakshminarayana D
•Sep 27, 2019
Its was a great learning experience working with model fitting, different methods and different data visual representation.
By Jeevan P
•Jun 6, 2020
Nice course with lot of content. It would be nice if extra content is provided to learn about some of the topics in depth.
By Jonathan T ( T
•May 2, 2020
Pretty cool course, I really appreciate the material in here, i learned a lot about data analysis in here. Awesome Thanks!
By Johann D J O H
•Feb 21, 2020
Is a great course and you can learn some functions to develop models to predict results. All with the big python language
By Kang R K
•Sep 29, 2019
The fastest way to learn Python's famous libraries such as pandas, numpy, scikit-learn, and etc, as tools of data science.