Chevron Left
返回到 Data Analysis with Python

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

4.7
星
19,378 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

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.

VS

Jan 30, 2022

This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

筛选依据：

2551 - Data Analysis with Python 的 2575 个评论（共 3,065 个）

创建者 Kisha B

•

Jun 28, 2019

I took this course out of sequence, but it has been the best one so far!

创建者 ZHANG B

•

Apr 22, 2019

The content in the lab is great! However, video courses are not so good.

创建者 Raphael I

•

Apr 27, 2021

great course,

exam handling not learner friendly & not very challenging

创建者 shiva m a

•

Aug 3, 2020

Awesome introduction to data analysis with python. Loved it absolutely!

创建者 Moaz M

•

Oct 10, 2019

some topics have not been covered well like piplines , cross validation

创建者 David O

•

Jul 26, 2020

The materials are well-organized, but there are many typos throughout.

创建者 Angeliki M

•

Dec 2, 2019

A really good course. Probably the best so far in the IBM Certificate.

创建者 Nanjun L

•

Jan 9, 2019

Would be better if more programming-oriented assignments are provided.

创建者 Rahul P

•

May 12, 2020

Excellent course with detailed hands-on experience via lab exercises.

创建者 Manas C

•

Mar 31, 2020

The course covers all the fundamental concepts needed for a beginner.

创建者 Obong G

•

Feb 19, 2019

Though found the ending modules a bit challenging, its a great course

创建者 Padraig M D

•

Jun 7, 2020

Quite a challenging course, but very rewarding. I really enjoyed it.

创建者 Charles R

•

Jun 15, 2023

Probably needs a refresh based on current environments now present.

创建者 mohsin a

•

Oct 17, 2020

Hands on Labs are awesome .They helped to consolidate my concepts .

创建者 Rohit S P

•

Apr 25, 2019

Needed a more brief explanation on ridge regression and grid search

创建者 Garimella B S

•

Apr 28, 2025

Good introductory course on Data Analysis. Hands-on labs are good.

创建者 Ninad M K

•

Jul 14, 2020

It is a great course and it teaches me data analysis with python.

创建者 Ginger M

•

Mar 18, 2020

I think that for weeks 4 and 5 the course needs more explanation

创建者 Wen P

•

Dec 24, 2019

Easy understanding

Good sample and comprehensive

Good for beginner

创建者 Jeff J

•

Aug 27, 2019

Nicely explained. But many minor mistakes here and there though

创建者 Bashar M

•

Feb 5, 2019

thank you very much ,this course was very useful and interesting

创建者 Luis G F C

•

Feb 21, 2025

Muy bueno, aunque podría ser más detallado en las explicaciones

创建者 Cherif H W A

•

Dec 13, 2019

as usual the labs are great but the videos could be much better

创建者 Nicholas J F

•

May 3, 2019

Good content. Still spelling errors and mistakes in some place.