5 de mai 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.
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.
por Felix S•
1 de jul de 2019
Material to learn data analysis was very good but had quite a few bugs. It was very annoying to review the assignment of a peer because it is not possible to zoom into the screenshot. Furthermore did I need to flag a person because he had copied screenshots and his notebook was empty or only with screenshots but I was still required to review a second person to complete the course.
por Jackson V•
5 de jun de 2019
Not as impressed with this course as the previous courses. My main complaints were:
-Seemed to be some gaps between the lectures and labs
-Some lectures seemed rushed through w/ simple questions, and did not prepare well for the lab
-Pre-written code in labs would produce errors
-Spelling mistakes (i.e. the week 5 "Quizz")
-No final project to conclude and summarize up our learning
por Chioma J E•
9 de abr de 2019
The course was not detailed enough. I think the instructor assumed that people taking the course would know a lot about Regression, Correlation and some other statistical functions, that it was hard to understand or follow at times. Maybe consider 'dumbing' down down the statistical functions so that newbies can also follow.
Overall interesting course. Thank you.
por Kam S H•
23 de jan de 2021
First 2 weeks were fine for beginners, but after week 3 where all new different syntax and concepts like seaborn, visualization, Regression models etc etc were thrown in, it got way too advanced for beginners especially when there insufficient and effective practices available to hone the knowledge. Have to spent most of the time self-learning on other websites.
por Nikhil B•
25 de fev de 2019
This is an excellent course for beginners in the data analysis and data science fields as it explains deep technical concepts in layman terms along with the Python code for the same. However, not a perfect course for someone wanting to go into conceptual depth or wanting to expand their knowledge of analysis in Python beyond use of standard packages.
por Fares A G•
18 de mar de 2020
Needs to rely less on the cognitive class platform, just host the ipynb files externally as the labs are inaccessible alot of the time. Course only covers regression models, I would've liked to see SVM, KNN and other algorithms. However the course excels in explaining the relevant maths related to regression and regression evaluation
por Mbongeni N M•
9 de set de 2018
It was educational, but when you pass a quiz, there should be an option to get answers to the questions you got wrong. And the practice exercises were filled with mistakes, particularly week 5. And the instructor was not responding to students' questions for week 5, which was one of the most challenging weeks. That was annoying.
por Yariv Z•
23 de mai de 2020
A lot of un addresses subjects. Many mistakes both in the videos and in the labs.
Overall after viewing all the videos again and summarizing for my self everything, I felt a lot better with the material but I think the course is not organized. I also think that it should get into some mathematical subjects more thoroughly.
por Brisa A•
28 de jun de 2019
A lot of errors make the course confusing. Also, the assigments and labs are "too easy"... it is clearly shown in the videos that there is much more to be done, but the course only demands you do about 50% of what is taught. How are we supposed to really learn without practice?? Give us real and demanding projects!
por Antonio P•
5 de mar de 2019
The content was good, but there were numerous mistakes and inconsistencies (i.e. a chart would show a red line as a training set but the write-up would say the red line was a testing set). Also, I would have preferred to have shorter and more lab activities. The lab activities were too few and each was too long.
por Vyacheslav I•
15 de nov de 2019
Grammatical mistakes, low quality videos, low quality slides and videos. Labs are okay, though no in-depth clarifications and explanations are given. Like "to do this you write this". Options? Explanations? What for? It's too much. Just remember how we wrote these lines and copy-paste them in you code later.
por Hemanth S•
4 de mai de 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.
por Rakshita S•
26 de jul de 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.
por Fernando M M E•
23 de out de 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.
por Sisir K•
15 de fev de 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.
por Jingyi Y•
16 de abr de 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.
por Raghav N•
14 de set de 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.
por Roberto B•
10 de jul de 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
por Toan L T•
23 de out de 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.
por Raj K•
6 de jul de 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.
por Damian D•
13 de fev de 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.
por Luciano P•
2 de mai 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 mai 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.