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
19,578 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

BD

Nov 22, 2019

Really interesting course, if one wants learn programming language. Well designed and structured. Only suggestion is, if the small videos contains example that be really great to understand it well

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:

2901 - Data Analysis with Python 的 2925 个评论(共 3,106 个)

创建者 Edward S

Aug 1, 2020

The week 4 lab had issues with pipelines and did not function well and the final exam locked up.

创建者 Miguel V

Nov 12, 2020

Needs more information on statistical tests. Specifically, when to use one model over another.

创建者 Poorna M

Jun 23, 2020

Videos in this section could be little more descriptive. It was not in the pace of a beginner.

创建者 Nathan P

Jan 1, 2020

It was cool to see the stuff at work but I need more hands on practice to really learn stuff.

创建者 Varun V

Dec 18, 2018

This looks good for experienced but not the best of course for beginners/intermediate level.

创建者 Connor F

Mar 27, 2020

when it got to model development it got too complicated too fast. The first half was great.

创建者 Badri T

May 28, 2019

Lots of good concepts. However, too complicated and could have been explained a bit more.

创建者 Jesse Z

Jun 5, 2019

For such a important topic, it seems like the videos sped through some essential topics.

创建者 Debra C

Mar 24, 2019

Course was worthwhile for general understanding of what can be accomplished with Python.

创建者 Miguel A I B

May 13, 2020

Exelent training to get familiar and intruducing to Python capabilities and programing

创建者 Xinyi W

Jan 26, 2020

Superfacial level of Python while being not very through on the data analysis methods.

创建者 Ana C H

Jun 11, 2019

To short

Goes to fast in some aspects, the theory is completely missing in this course

创建者 Sathiya P

Aug 27, 2019

Nicely thought, but I felt concepts like Decision trees, Random forest were missing

创建者 Ros R

Aug 12, 2019

The course is too long. The material should be divided and explained more detailed.

创建者 Amanda A

Apr 16, 2020

There were many typos in the labs which made it difficult to understand at points.

创建者 Juan S A G

Aug 20, 2020

very simple exercises which does not help to learn altough videos were exeptional

创建者 Naresh T

Aug 11, 2023

It's really good course i really enjoyed learning new things in data analaytics.

创建者 Naf

Nov 1, 2022

It was a good course but maybe a little too easy with all the prompts provided.

创建者 Mohsen R

Jun 16, 2020

The course does not explain the processes enough, there should be more examples.

创建者 Maciej L

May 16, 2019

Too many complicated things happening at once. It is hard to digest and follow.

创建者 Tomasz S

Nov 19, 2018

Few small hiccups with the training videos and quite a few in the lab-excercise

创建者 Craig S M

Mar 21, 2022

It ok. Some parts of the course were bare bone. I liked the hands on sections.

创建者 Steven B

Jun 3, 2020

Overall I felt it was not broken down very well and seemed confusing at time.

创建者 Pierre-Antoine M

Feb 19, 2020

Videos are nice but they are mistakes in the notebooks that disturbs learning

创建者 Toan N

Mar 27, 2020

The lab is disconnected every so often that can't complete it smoothly.