学生对 IBM 提供的 使用 Python 进行数据分析 的评价和反馈

Great Course. Amazing Work By the team. Concepts explained clearly, followed by the week end quiz to revise. The Labs Do a great work in helping out

helps me a lot! FYI I was new to data science and programming language but this course helps me to understand business analysis with Python!

Covers a lot of ground but the Python Labs are great at bringing everything together.

A very complete course of Data Analysis.

Tough but useful.

The course content is definitely interesting, but the approach is superficial. You will get a broad overview of the keyword to search for, and what is available in popular Python packages. However, the quizzes are way, way too easy. The course needs a final "open" assignment, where you have to use the tools without being guided along the way. This is the only way to truly learn.

Course was great but it had number of errors and typos, that per my experience and other attendees caused some confusion.

I am sharing so it could be improved as it is a dream come true for myself to gain this valuable knowledge as conveniently as possible.

Thank you.

Mahvash Nejad

A very comfortably created course - no stress at all. However all that you can get is become familiar with the data analysis tools. May be that's the point.

I think few more practical exercises or at least references of the same would help better understand the overall fundamentals.

Material covered is useful, but there are a lot of typos and mistakes in the lecture slides and labs.

There could be links to functiones libraries in the lab for a fast check of a function if needed.

I think the quizzes can be in the format of programming required questions.

Some mistakes/ typos in the exercises and slides, but great overall

An assignment should have been included

The course included a lot of very useful information. Thank you for that! Unfortunately it is also full of mistakes/misinformation. Every time I was about to report those errors, I found out that they have been already reported in the forum. And usually reporting had happened several months ago so that left me wondering how it can be that the mistakes are still there. So far I've been participating two other Python/AI courses by IBM and they were 5 starts. For this one, unfortunately 3 stars is best I can give with all the unfixed mistakes..

There where some typos in the labs that could confuse most learners. I didn't feel like the course prepared people for real applications. The final project was quite hard because of this .

But it does give you a wide vision on hoy pandas work and some basic but apparently often used tools.

I see this course as a complement to a more detailed data analysis resource or perhaps as simply as an introductory view.

Hello,

in this course there were some errors on the slides, and some quite complicated topics (almost every time related to statistics) was given in a very over-viewed way. Also, some of the python codes were not explained very well, with some terms of them seem to be kind of arbitrary for those who are beginners in the language. My impression is that this course should be longer and more detailed.

Overall I benefitted the course material as a beginner in python and data analysis. The questions were too trivial but maybe that helped me remain engaged with the course and complete it in a short time frame. There were some bugs, typos and minor quality issues that did not really effect my overall experience.

Many typos in videos, stats explained on a very rudimentary way (and often inaccurate), Watson environment is awful as it takes ages for some simple regression plots to be made, it freezes and the interface is not user-friendly, yet we have to use it.

Seems like there are quite a few errors in the labs that confuse the heck out of a student. The labs need to be fixed else the material becomes useless.

Course content does not give proper understanding of the different approaches. For the person who is not from mathematics background it is confusing.

The statistics background needed for the course need to be better explained. or at least reference to related learning materials to be given

Too many errors in the lab examples can be rather confusing.

Also, the Seaborn code was not working in IBM Watson Studio

Great course but some of the concepts are not explained very well. I got lost towards the end but overall i like it.

Lot of information, but offered in a very choppy manner. Was hard to follow, will need to review many many times