19 de abr. de 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.
5 de may. de 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.
por Luciano P•
2 de may. de 2021
Good topics, but video instructions not clear enought. I had to go search on Internet for the topics. Sorry.
Maybe they were too simplified for videos. The subjects needed more exploration.
Anyway, it was a good starting point.
por Filipe S M G•
24 de ago. de 2019
Good introductory course on Data Analysus with Python. Since the course is short, the functions and concepts are explained very quickly. There are also many mistakes in the slides, notebooks and even in the final assignment.
por Benoit P D•
4 de may. de 2019
The content of the course is very interesting. There are lots of typos in the lab workbooks though. Additionally, i found having to use Watson Studio for the assignment / labs as opposed to plain Jupyter a little annoying.
por CHEW K C•
14 de mar. de 2021
it will be better if you can illustrate how to solve the problem step by step and explain what is the parameters that you put inside the function. Some videos are great but some videos seems a bit rush.
por Sadanand U•
9 de abr. de 2019
It would be great if we go in a little more details of when to use which metrics for evaluation. Instead of running through a bunch of concepts you could have spent a little more time in each of them.
por Joseph M•
21 de feb. de 2019
There were serious problems with this course, not in the instructional material but in the execution. There were multiple typos in the code. The especially grievous ones being in the dictionary names.
por Tejas M J•
4 de may. de 2021
Few mistakes in the questions made for this course. Also, more questions for quizzes are needed to test the learner's abilities better. Slightly harder coding assignments would also be a great idea.
por Michael L•
1 de ene. de 2021
Ran into some roadblocks during the peer assignment. It would have been nice to have had access to someone to discuss the roadblocks and assist me with understanding how I went wrong.
por Deren T•
7 de ene. de 2019
This is the 6th course of the specialization and I gave 5 stars to the previous courses. But this course have many typos in videos and codes. It makes harder to understand some points.
por Kristen P•
18 de ago. de 2019
The work in this course was incredibly interesting. However, there are many errors and the forums went for over a week without response to questions...It seems hastily put together.
por L V P K M•
14 de may. de 2020
Videos are very fast and dont go into details. Assignment is very easy, it could have been more challenging which can test and make learner to think using several concepts learned.
por Taqi H•
18 de jul. de 2022
one must have prior knowledge about python and have little bit understanding of statistics. over all course was good but should be improved in terms of Data, ML terminologies, etc
por Ivan L•
28 de abr. de 2019
Typos are very unprofessional and spoil impressions of the course. Tests and labs are super-easy and do not make you think, and you only need to repeat commands from the lectures.
por Vladimir K•
24 de feb. de 2020
So many errors in materials. It's unacceptable for course of such level. Even though people mentioned these errors in discussion forumns noone seems to bother about correct em.
por Naveen B•
12 de jul. de 2019
Some of the codes shown in the videos had minor errors. Also, a bit more explanation for function (in statistics terms) would have helped in having a better understanding.
por Sruthi A•
20 de ene. de 2021
This course covered all the topics and overall it's a good one. I wish there were more examples, as it was hard to understand the details in depth with just one example .
por Marta I•
23 de ago. de 2020
This is a good course for beginners with Python. The content is explained in a very direct and comprehensible way, but more programming exercises and tasks are required.
por Ying W O•
27 de sep. de 2019
There are lots of typos in the labs and assignments, which can be frustrating. I expect better quality from IBM. Content is great and easy to understand nevertheless.
por Matteo T•
1 de ene. de 2020
This course is quite good. The bad thing is that the arguments of the last "lesson week" are treated very superficially, taking for granted some advanced knowledge.
por Marcel V•
28 de jun. de 2019
A lot (too much maybe) is covered in this coarse
It really helps a lot when you know some statistics. Like linear regression,
Why gridsearch was covered I wonder.
por Milica V•
24 de mar. de 2022
It could be better. It provides a lot of coding, but it does not explain all the aspects of it. The tests are not a good representation of what has been done.
por Dylan H•
3 de abr. de 2019
While a bit fast and loose with the concepts, does contain a lot of practical code as to how exactly to bring things discussed about, which is appreciated.
por Xuecong L•
16 de feb. de 2019
Thanks for teaching me the systematic way to do data analysis! However, I found quite a few mistakes in the lectures in this course, hope it will improve!
por Namra A•
8 de ago. de 2021
This course was good if you study the course and study the material from other sources and books too ,so it will give you deeper and more understanding
por Hao Z•
12 de ago. de 2019
IBM Cloud is difficult to use.
The generated link of notebook will not share the latest version, if you click the share icon before editing the notebook.