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学生对 IBM 提供的 Data Analysis with Python 的评价和反馈

4.7
19,613 个评分

课程概述

Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you’ll gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions. By completing this course, you’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement....

热门审阅

BK

May 8, 2021

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

BM

Jul 16, 2020

Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should. A good starter course to wet your feet in DA!

筛选依据:

2551 - Data Analysis with Python 的 2575 个评论(共 3,116 个)

创建者 Abdullah T A

Jan 18, 2022

The stuff in week 5 confused me a lot. but other than that it was great. especially lab sessions

创建者 Reinhard H J

Oct 18, 2019

I learned some new things, but I think more attention should be given to the theoretical aspects.

创建者 Nur C N

Jul 11, 2019

Too much information in one course, it's good but need to be put more example to make it clearer.

创建者 Adrian A

Sep 5, 2022

Good background knowledge.

Assignment did not have a model answer script provided for peer review

创建者 Umesh S

Jul 21, 2020

may be a course or module on statistics may be more helpful to get better insight of this course

创建者 Fahad R

Jun 28, 2020

Very comprehensive course but it would be great to add some more material from basic statistics.

创建者 Sajal J

Oct 18, 2019

Good for learning basics of data analysis using simplest explanation methods .HIGHLY RECOMMENDED

创建者 Adam A

Feb 1, 2022

Peer Review Assignmnet is flawed - not all students assess properly and give incorrect marks.

创建者 L.H M

Jul 20, 2021

This course has given me a good start up to analysing with python. Thank you IBM and Cousera.

创建者 Puneet K U

Apr 12, 2020

Very well structured course, but it felt a bit easy. You can make it a bit more challenging!

创建者 Manal C

Sep 10, 2019

Very condensed, and requires additional research for those without a programming background

创建者 shaikh s

Sep 10, 2019

i think its a better way to learn python and will be eligible for job in any organization.

创建者 Jingjing W

Dec 9, 2025

Final project can be more challenging. The final quiz question 13 does not have an image.

创建者 Skanath K P 2

Apr 14, 2025

It was great to learn this course..Got know great stuffs about data analysis with Python

创建者 Abdullah h

Oct 12, 2019

this course is so great but the last 2 section (week 4 and 5 needs some more explanation

创建者 Sanskriti T

May 17, 2020

This course is great!!! I loved it and provides better understanding of data analytics

创建者 Munir N

Oct 17, 2019

Again very good designed by IBM and Coursera. It was a bit tough but good for learning

创建者 Rubén G

Apr 11, 2020

Please include more examples in the laboratories, for a better interpretation.

Thanks.

创建者 E. R " A

Mar 28, 2020

An extraordinary well-designed course with excellent courseware and tests. A triumph!

创建者 Sven B

Sep 26, 2019

Good quality, a little bit is missing the background explanation for some techniques.

创建者 Ahmed A

May 8, 2022

i think you it's better to make the question of the exam harder with add extra steps

创建者 Will S

Mar 29, 2020

The labs weren't available for a period of time, but the information is very useful!

创建者 Larry F

Dec 18, 2018

Covers a bunch of useful stuff pretty fast. That may prove a problem in the future.

创建者 Md. S R

Sep 14, 2021

Some syntax is wrong. However, more explanation is required for proper explanation!

创建者 Marcel M R

Jul 17, 2019

Week 04 and Week 05 are very confusing and only scratch the surface of the subject!