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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:

2926 - Data Analysis with Python 的 2950 个评论(共 3,106 个)

创建者 Jessica B

Jun 14, 2019

Good content, but lots of typos. The outsourcing is extremely evident.

创建者 RODOLFO C R

Jan 24, 2022

This course focus on very important subjects but in a sketchy aproach

创建者 Arjun S C

Aug 14, 2019

Lots of bugs and errors. No instructors reply on the discussion forum.

创建者 Anvit S

May 13, 2020

Could have been more detailed....Important concepts just brushed thru

创建者 Nourhan A Y

Aug 28, 2024

This course needed to be updated it lacks a lot of important basics

创建者 Dibyendu M

May 20, 2023

The practical lab having technical issue .PDF is not downloadable.

创建者 Holly R

Apr 16, 2020

Could use some better mathematical description of the techniques.

创建者 Filippo M

Sep 27, 2019

Useful course, but the IBM online platforms are not working well.

创建者 Robert P

May 17, 2019

Some concepts were quite confusing and not that well explained.

创建者 Atharva Y

Jan 23, 2020

As compared to other courses this course seems to be too fast

创建者 Nirav

Jun 26, 2019

Lot's of errors in this course, please update and correct it.

创建者 Phetole E R

Jun 16, 2023

The course material did not prepare me for the final project

创建者 Anmol P

Oct 14, 2019

Course could have been more elaborate in depth and scenarios

创建者 Tichaona M

Aug 5, 2020

This is a great course for building the base to use Python!

创建者 林tanya

Dec 27, 2019

the lab is extremely useful, however, videos are too short

创建者 Michael A D R

Nov 1, 2019

Extremely interesting BUT it gets long and hard to follow.

创建者 Nihal N

Apr 18, 2019

not in depth.... needs more clarity on a variety of topics

创建者 Alejandro A S

Jul 25, 2019

Experimented a lot of problems to complete the assignment

创建者 Troy S

Mar 14, 2019

Quizzes are too easy. Don't even need to watch the videos

创建者 Anurag P

Jan 18, 2020

Mostly theoretical; very little to implement on our own.

创建者 Pulkit D

Jun 29, 2019

Please update and explain Rigid Regression a little more

创建者 Ghulam M

Jul 23, 2024

there is just lot's of rough discussions in my openion.

创建者 Appa R M

Oct 24, 2019

The kernal is stuck for some questions and its annoying

创建者 Qing L

Jan 26, 2020

Kurs gut organisiert aber

die Fragen sehr oberflächlich

创建者 Jakubina K

Dec 19, 2018

It would be more useful if labs were be rated as well.