RP
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.
SC
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.
By Hemanth S
•May 4, 2020
Course is a bit too short and way too fast paced for what it is trying to convey! Of course people will be able to complete the course without problems but, have to re-visit and brush knowledge on these a lot more. Anyways, it is a bit of confidence booster. You feel like you learnt a new course.
By Rakshita S
•Jul 26, 2020
The reason I am giving a three to this course because compared to rest it was a bit fast-paced. Also, I feel we need a prerequisite of statistics before starting this course which was not mentioned anywhere.
Guess it is time for a lot of practice. Wish there were more assignments as well.
By Fernando M M E
•Oct 23, 2021
I am doing this course as part of the IBM Data Analyst Certificate and even it was the 7th course I take I don't feel it was well explained. The videos pass very fast and the explanations are insufficient to understand what happen in the labs. I think there is place for improvement.
By Sisir K
•Feb 15, 2019
Highly technical and complex in nature. Difficult for people just starting out with data science. The hands-on labs are more useful than the videos themselves. The quizzes in between videos felt a bit too easy and mostly comprised of examples (as questions) in the videos themselves.
By Jingyi Y
•Apr 16, 2022
The final assignment is terrible. I've spent a long time setting up the environment because the online notebook is not available. And some questions are hard to find what they are really aimming for. And instruction is actually bad, at least compared to the course.
By Raghav N
•Sep 14, 2018
This course is definitely very helpful to people who are passionate about Data science and have basic to intermediate understanding of Python but this course can be much better if it includes coding assignments rather than quiz submission. It was a great experience.
By Ahmed O S
•Jan 1, 2023
The course is great, however it seems to assume knowledge of things that are not listed as prerequisite knowledge, mainly Data Visualization methods in Python and Regression models. I would also have loved if there was a recommended reading section on these parts.
By Roberto B
•Jul 10, 2019
I'm not convinced that this is a great way to learn, I just feel there needs to be a better way of learning this than the approach this course takes, I kind of learned the python commands but I'm not sure I understand how to apply them in the real world. We'll see
By Toan L T
•Oct 23, 2018
Decent videos on Data Analysis techniques.
But the labs are poorly constructed: typos, inconstant question and solution, un-commented code and under-explained lab result.
It's a shame since the labs in other courses in this series are very high-quality.
By Raj K
•Jul 6, 2018
It would be great course for beginner to have idea about different steps involve in data science job. I would recommend to go with this course. I just took 3 days to complete this course and you can do in 2 days also. Depending on your speed.
By Dylan J
•Feb 17, 2024
Good course for beginners. Some inconsistencies with the code in the slides so may be confusing to follow if you're unfamiliar with writing code. Also, labs for week 5 and 6 don't work. Had to run jupyter lab files locally to get completed.
By Damian D
•Feb 13, 2019
There are some mistakes in the course (wrong transcryptions, missing cells in LAB).
The material is quite difficult and more explanation / exercises would be needed.
There is no assignment at the end of the course which I consider as minus.
By Le M
•Sep 10, 2024
Quality control is bad. There are lots of typos, slides with wrong animations, and mistakes in task descriptions. Overall, the look and feel is really inconsistent. My students would get bad grades if they submitted a quality like this.
By Luciano P
•May 2, 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.
By Filipe S M G
•Aug 24, 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.
By Benoit T P
•May 4, 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.
By Lippman T
•Nov 28, 2023
There is more value to this course if you use ChatGPT as a supplement. The course is really high level and uses some codes that can be confusing (and it doesn't break it down) if you don't come from a coding background.
By CHEW K C
•Mar 14, 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.
By Sadanand U
•Apr 9, 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.
By Joseph M
•Feb 21, 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.
By Tejas M J
•May 4, 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.
By Michael L
•Jan 1, 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.
By Deren T
•Jan 7, 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.
By Kristen P
•Aug 18, 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.
By L V P K M
•May 14, 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.