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.
AB
Feb 13, 2020
Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.
By Tareq A
鈥Feb 10, 2019
Really this course shows the full path to master the Data Analysis with Python. This path is short, helpful, and rich information their. thank you at all and thank you 糖心vlog官网观看
By ABHISHEK K
鈥Dec 18, 2022
Data Analysis with Python are the great advantage of my career, and this of coursera education platform are to be knowledge my career. And i love this course and happy to done.
By Jaime O
鈥Apr 8, 2020
Excellent training.
This course will greatly improve my ability to become well versed in Machine Learning AI using Python!
Many thanks to the IBM staff and to Dr. Santarcangelo!
By Khadija S
鈥Mar 22, 2019
Highly recommended course. All i was about data analysis with using Python as a tool. In this course you can learn basic econometric, python, and of course how to analyse data.
By Gilberto B L
鈥Dec 17, 2018
This was a very interesting course, all the topics are very well explained, I learned more about how to validate data or how to create models to classify data, thank very much.
By Katherine M K
鈥Feb 18, 2022
Pay attention to the syntax coding! Excel .csv data uploaded in JUPUTER NOTEBOOK, the visual process to do so needs upgrading as IBM data pak is in a new location on the web.
By Sharon
鈥Jun 25, 2020
This is far by the best course delivered with ease of understanding for anyone.I loved the short videos to keep things interesting and the various examples.I LOVE THIS COURSEE
By Christian C
鈥Aug 20, 2023
It is a very well made course. The labs help tremendously in reviewing and applying what has been explained in the videos (which are sometimes a bit too fast for me). Thanks!
By Sergio G
鈥May 2, 2021
Really useful in terms of the practical application of regression models.
It simplifies traditional approaches with easy to run staff direct to b be applied to solve problems.
By James P
鈥Jun 10, 2020
Very informative and challenging course. I particularly enjoyed the mix of video content and questions and the labs allow you to practice the content in a guided environment.
By omar a
鈥Feb 17, 2020
this course was a useful course for how analysis data with python. I think it's a very good choice to learn how to analyze data with python.
thank you so much for this course.
By Anthony S
鈥Feb 7, 2020
This course was pretty heavy going but I really liked the fact that there was constant testing through the whole process. So, heavy going but well paced. Thank you very much.
By Yau W K
鈥Aug 10, 2019
Very comprehensive learning process of how to know, manage and wrangle your data which sometimes is the most important and time consuming portion of any data science project.
By Hung W K
鈥Sep 6, 2024
The course suitable for beginner as it is easy to follow it. The programming assignment is fun and enjoyable. It is good to see and do the pipeline part, which is enjoyable.
By Yongwei S
鈥May 15, 2023
I enjoy the explanation about statistics so much. It connects the dots in my brain about machine learning and why we must use those fancy statistic terms i.e. R Sqaure, MSE.
By Kushagra A
鈥Apr 23, 2019
I am highly impressed with this course !!
This course is very informative. Regular assignments helped me a lot to learn and to complete my course on time before the deadline.
By Caio B S
鈥Oct 11, 2019
This one is actually dense in content and, unlike the previous courses, doesn't force you to use IBM's tools. It could really use some grammar and layout checking, though.
By Julissa S T
鈥Mar 21, 2023
Tough but really makes the info stick. Is a lot of information at once, but not too much either and enough to get a good grip on fundamentals for data analysis in Python.
By Rishabh G
鈥May 26, 2020
The course is a great start for applied machine learning or Data science. Yet you should be familiar with Ml-algorithms and a python 3.o, consider these as prerequisites.
By Pratik A
鈥Nov 21, 2019
Amazing course - delivers great content with simple and easy-to-use instructions. You can easily learn a lot regardless of already knowing some of the content beforehand.
By Minh T T
鈥Apr 1, 2021
It is a great fulfillment for me to complete the course. I did learn too many things in analysis using Python. Thank you, Professor. Thank you, IBM. Thank you, 糖心vlog官网观看.
By ADITYA K P
鈥Aug 17, 2020
This was a great course to learn the model building and testing models, it took us from zero level to proficient level in getting insights of models building and testing
By Ben M
鈥Jul 27, 2020
Would be useful to have some of the visualisation techniques before this session, but a good run through of how to analyse data in Python, build models and validate them
By Matteo M
鈥Apr 11, 2020
Good course, with some previous experience on basic python and pandas it takes you thru data analysis with hands-on example on real word data. Interesting and effective.
By Nhu P
鈥Aug 6, 2020
I had so much fun during learning this course. It helps me get to know and do basic coding. Definitely recommended for anyone who want to have a brief of data analysis.