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

4.7
19,631 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

LM

Mar 9, 2020

Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

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:

3051 - Data Analysis with Python 的 3075 个评论(共 3,119 个)

创建者 David K

Apr 28, 2020

Too many errors. Please renew the course asap for the future learners. These errers are distracting and make the learning experience less fun.

创建者 Archana B

Apr 28, 2021

Model Development and Model Evaluation & Refinement Concepts are not explained properly neither in Videos nor in Lab!!Really disappointing :(

创建者 Tarun S

Mar 10, 2021

Concepts of the algorithms are unclear. In the notebooks as well, it is not in a flow. Very confusingg for a beginner to learn from this.

创建者 Malcom L

Jan 11, 2019

more hands on, project based/game based learning. Mindlessly watching videos and regurgitating code in the labs can not be the only way.

创建者 Santanu B

Apr 16, 2019

Not a great course. Sometimes it is too fast and the explanations are very short. More hands on exercises would have been more helpful.

创建者 Rajesh W

Oct 17, 2018

There are plenty of mistakes in the videos and in the lab session as well. Hope you guys can clear out those.

创建者 Wayne W M

Oct 2, 2019

This was a very challenging course. Some concepts were difficult to grasp and required additional research

创建者 Mark F

Apr 8, 2020

Frustrating when the peer reviewer doesn't actually understand Python and deducts marks for correct code.

创建者 Hunter I

Apr 17, 2020

Leaned some, but not a whole lot of real-world application, I recommend people take Python courses more

创建者 Ashwin D

Apr 29, 2020

Not enough hands on problems, including variety and volume. Expected more from an IBM program.

创建者 Nathaniel S

Mar 29, 2020

Don't spend your money on IBM Data Science Cert. Course labs are full of bugs and not working.

创建者 Katherine L

Jun 5, 2022

coursework was easy but that damn final assignment was absolute hell for no reason whatsoever

创建者 Edwin S J

May 25, 2019

Suddenly introduced complex codes and statistical functions. Videos were way too fast.

创建者 Somak D

Oct 30, 2018

moderators do not respond to questions raised in forum. leading to incomplete learning

创建者 S I A

Jun 10, 2021

Worst course in the IBM Data Analyst Professional Certificate. Very badly explained.

创建者 ekta s

Mar 1, 2023

too many advanced math concepts used but no explanation of any of them.

创建者 Sahar A

Oct 3, 2021

it was too fast and I didn't understand a lot of things

创建者 Jen E

Jul 31, 2019

So many problems with the lessons and the final project.

创建者 TOUIL M

Sep 4, 2024

Something is off with the assignments of this course

创建者 Md Z S

Mar 11, 2025

slow in process of certification still not issuing

创建者 Rasmi D

Jun 18, 2019

very high level... topics not covered in depth

创建者 Ahmed E

Aug 8, 2020

some commands are not fully explained.

创建者 Pradeep Y

Dec 16, 2021

it is very easy courses

创建者 Žana Š

Jan 26, 2025

Labs doesn't work!

创建者 Jonas T

Apr 21, 2023

Needs Improvement.