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
19,613 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:

2626 - Data Analysis with Python 的 2650 个评论(共 3,115 个)

创建者 Eliezer A

Jul 30, 2019

there are some errors in the code lines through the lecutres.

创建者 WANG T

Jan 24, 2019

Typos in the videos and notebooks should have been corrected.

创建者 Ashish R

Feb 12, 2025

I'm expecting more modules can be include like SQL and EXCEL

创建者 Raja U A

Mar 4, 2021

Course Contents were excellent but not well arranged/planned

创建者 alvaro a

Sep 30, 2020

Buen curso, los talleres permiten la aplicación de conceptos

创建者 Welamaza A M

Jun 18, 2022

Well taught and is challenging enough to keep one motivated

创建者 Abhay S

May 12, 2020

Quiz sections are very simple in comparison to the lessons.

创建者 Brijesh O

May 6, 2020

Final assignment could be better thought out. very simple.

创建者 Rahul S

Jul 18, 2019

Very Helpful course..and very good contents..learnt alot..

创建者 Narayanaswamy N

May 25, 2019

First go for module 8 - Machine Learning and come to this.

创建者 Ajay M

Mar 7, 2020

The Non-Graded Online Assignment need more practice cases

创建者 Beatriz N

Aug 31, 2024

Is a good course but i think It could be better explain.

创建者 Duc N

Jun 17, 2023

that's an amazing course. thank you for helping a lot.

创建者 Filiberto H

Jan 17, 2020

Very difficult if you don't have some statistics bases

创建者 Serena T

Nov 22, 2019

A tough course yet interesting. Like the lab exercises

创建者 Ran D

Jan 4, 2019

The question jumped up in the video is quite annoying.

创建者 Takudzwa G

Jun 9, 2023

Awesome Course. The vids are rushed a little though

创建者 Sunabh M

Apr 1, 2023

It should contain a bit more about machine learning.

创建者 John P

Jul 20, 2021

Quite disappointed with the material in the course.

创建者 Umasankar M

Aug 1, 2020

Need more model development examples will be helpful

创建者 Themba M

Jun 11, 2020

Explanation of lab steps has a room for improvement.

创建者 Andres E S G

Jan 11, 2020

It could have a little more theory about statistics.

创建者 Adesua A D

Nov 4, 2019

My first course on coursera and its very informative

创建者 Alexandru S

Jun 3, 2019

A lot of information, it is at times hard to follow.

创建者 Rosemary M

May 8, 2023

This is a very educative course .Thank you Coursera