Apr 19, 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.
May 5, 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
创建者 Lakshminarayana D•
Sep 27, 2019
Its was a great learning experience working with model fitting, different methods and different data visual representation.
创建者 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.
创建者 Jonathan 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!
创建者 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
创建者 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.
创建者 Tom M•
Jan 1, 2019
Really great overview. Outlines how to create an example predictive analytic from tart to finish in a really cohesive way.
创建者 Diego A U•
Oct 30, 2021
It was a great learning experience. In Video questions, labs and Questiions after each module eased the learning process.
创建者 Kelly D•
Mar 7, 2021
I learned some great tools that i hadn't learned in other Python courses, which I can apply directly to my side projects.
创建者 Cinmoy D•
May 24, 2020
One of best course.As usual IBM courses are very useful.Specially the labs are very helpful.But more topics are expected.
创建者 Oğuz K M•
May 20, 2020
the course is clear and understandable with comprehensive contents about using python and build basic modelling pipeline.
创建者 Jacob S•
Oct 30, 2018
Great information. Definitely worth every second of time spent. I will be coming back to this course later for reference.
创建者 Neeraj S•
Oct 19, 2018
Teaches the basics well. Suits someone who has prior fundamental knowledge as the course hits the main points succinctly.
创建者 Irteza A N•
Jun 27, 2018
I find it worth the money taken the teaching methodology is excellent and even an average student can gain a lot from it.
创建者 Nick H•
Sep 23, 2022
Really enjoyable and hands on assignment at the end helps you embed the knowledge learnt. Clear and concise throughout.
创建者 Godfrey A•
May 23, 2021
Great platforms to learn coding online. I like how the videos communicate everything in simple language. Good work guys!
创建者 Muhammad R K•
Apr 12, 2021
A comprehensive course on data analysis which provides a perfect foundation to future career orientation of individuals!
创建者 Dennis M K•
Sep 25, 2020
Thanks to this course i have a better grasp on the data science analysis and methodology. The instructors are brilliant.
创建者 Jesús A S G•
Sep 9, 2020
For me that I am a beginner the IBM courses are perfect to understand and learn about this important topic. Good course.
创建者 Ritika A•
May 5, 2020
it improved a lot of my understanding of python and the data analysis through python, Thankyou for designing this course
创建者 Shiva k•
May 3, 2020
It was very good and informative. Some of the videos are quite fast though. Need to watch it few times to understand it.
创建者 Carolina P G•
Apr 19, 2020
It has a excelent videos with specific and clear information, the labs are good help to understending better the topics.
创建者 Bryan T•
Mar 4, 2020
Very comprehensive course! Would recommend! Though I personally feel like some of the quizzes were not difficult enough.
创建者 MICHAEL K•
Jan 4, 2020
Data Analysis with Python has made me to apply the mathematical and statistical knowledge in solving community problems.
创建者 John N•
Dec 2, 2019
Awesome Course. I love this class!!! Strongly recommend this course for those who wants to learn Data Science in Python.
创建者 Riya B•
Jun 27, 2019
Very good. lots of methods are covered in this course. Should include 1 complete real-world scenario handled end-to-end.