學生對 IBM 提供的 使用 Python 进行数据分析 的評價和反饋

This course is good for someone who wants to start learning machine learning. It covers all the relevant topics which will help you in machine learning.

This course was packed with a lot of details. I mean a lot. If one doesn't take his/her time to go through everything, it would just become overwhelming

Very Good Course. I really learned what Data Analysis really is ... opened my eyes! Very useful course for industry as well, I would imagine. Thank you!

This was an excellent course that had datasets with which to work with. With practice and exploration of data wrangling, my confidence level is growing.

N​ice course for some background in data terminology, and to outline some of the tasks that data analystrs perform. Good for someone outside the field.

This is one of the best courses I have done so far on Coursera. The special point is this course has the whole project hierarchy for the bottom to top.

This course is quite challenging compared to the past courses. It really needs you to review and understand everything before you can pass the quizzes.

Wow!! Great course!

I learned a LOT. The material is not easy, especially for a non-math person but is one of the best courses I have taken on Coursera.

This course is a good opportunity to test yourself in data science and moreover it provides you to advance your knowledge and skills in data analysis.

Excellent module. It gave me a good overview of all components about data analysis. I applied it immediately to a case that I had in hands in my job.

This course is about regression, how to create models, how to evaluate and select a model or parameters. These are exactly what I would like to know.

I will recommend it. You should take care and you should try to understand the concepts first with the module exercises. Great base knowledge course!

Course lectures and materials are very well delivered and written. The lab sessions are interesting and difficulty level is just right for beginners.

Amazing course to start data analysis with python. It covers most important aspects of data preprocessing in machine learning using python libraries.

Excellent course. The level of difficulty is not high, but you can still learn quite a bit from the videos and especially from the Jupyter notebooks.

Refreshed my concepts about the statistics, regression and error calculation. Explained most of it in a very unambiguous manner. Highly recommended.

An insightful course which is consized appropriately making one comfortable with basic statistics ,creating model pipelines and data visualizations.

Great course, I loved the final project because it really puts what you've learned to test. I wish there was more like a project like this per week.

One of the best course for data analysis with python. It covers the concepts to start working on a project and has well detailed explanation to all.

Excellent combination of core statistical concepts being translated into digestible python codes.!! Yes I can comfortably use linear regression now!

Great hands-on lab examples and step by step teaching which makes the content easily digestible even to those without much prior python experience.

Muy didactico y util, recomiendo repasar algunos conceptos de estadistica para que sea mucho más comprensible los analisis que se estan realizando.

I perceived a responsible and loyal attitude towards the student.

I learned a lot about how to analyze and manage data with a specific objective.

The course is made in very simple language, anyone can learn from this course. The most amazing part of the course is Lab. Love you IBM & COURSERA

Amazing course! I was looking for a comprehensive course which takes up step by step process for Data Analysis. I hit a jackpot with this course.