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

4.7
19,533 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.

TG

Sep 5, 2023

Wonderful course, explained everything in the most easiest way possible. BUt hte module 4 and 5 ffeels kinda hard for a person who is not familiar with data visualization and machine learning.

筛选依据:

2501 - Data Analysis with Python 的 2525 个评论(共 3,098 个)

创建者 Collin C

Jan 6, 2020

Well organized topics with pretty sufficient instruction. The more advanced coding only got a cursory explanation.

创建者 Marco S S

Nov 9, 2020

Very good course, it goes straight into the useful tools and concepts in regards to data analysis and prediction.

创建者 Juan L S

Nov 20, 2018

I mean, it's super well prepared, but the scalation of topics seemd to be a it too quick, at least it was for me.

创建者 Amit K S

Jun 27, 2020

The videos are bit faster. It would have been better if it was done by some real teacher rather than voice over.

创建者 Harjit S G

Oct 25, 2019

use of names was a bit confusing at times compared to final assignment, but otherwise very helpful and enjoyable

创建者 Jeremy G

Oct 12, 2020

This course should come after the Data Visualization with Python course in the Professional Certificate program

创建者 Lida X

Jan 9, 2020

Maybe a bit too fast for those who are not familiar with various kinds of regressions...

Other parts are great!

创建者 Cristina

May 29, 2018

Interesting course, but there are some moments when they give an interesting idea, but not the implementation.

创建者 CAMILO A P Q

Jun 20, 2020

Good course, but it's too basic. I learned basics of pandas, scikitlearn, seaborn and other python libraries.

创建者 Nikhil

May 14, 2020

High quality, concise content, well timed videos with pop up questions that ensures focus of the participant.

创建者 Deepak P

May 17, 2019

The Content was really good but some topics are explained in very short.

But Thanks for this awesome course!

创建者 Kerem B

Feb 3, 2020

The difficulty level of this course goes up very dramatically and it took me very long time to understand.

创建者 Gabriel A

Jun 6, 2019

Best course in the specialization so far. An introduction to the statistical concepts could be beneficial.

创建者 Praveen

Jul 20, 2019

Very good introduction to data analysis. Some of the concepts mentioned here needs much more explanation.

创建者 Mr. S

May 1, 2023

Really good course, just that sometimes it seems it takes in big steps which may provoke some confusion.

创建者 FILPE R F

May 29, 2022

It was a good course. However, in my point wiew, it was necesserary exploring the Pandas and Numpy more.

创建者 Jonathan P d A

Nov 6, 2018

Great course with great classes. The exercises are not complex which makes the practical part less good.

创建者 Lucian P

Dec 13, 2021

Great content but problematic when you need to use IBM Cloud platform that doesn't accept new accounts.

创建者 Juan J F

Mar 22, 2021

An excellent introduction to the techniques to analyze data and do the validation, very clear exercises

创建者 Venna R D

Feb 2, 2024

A very good and detailed explanation. A little bit of assistance in coding should improve in the labs.

创建者 Akshay S

Jun 22, 2020

Overall coerce is good. Just the algorithm explained at last weeks need to be more simple explanation,

创建者 Rajeev P

Mar 21, 2020

It was a good course. Learnt a lot of statistics and how to implement them in python from this course.

创建者 Hung C T

May 1, 2019

Would be better if some underlying theory of advanced topics is covered, such as Ridge Regression etc.

创建者 Nicholas F

Nov 24, 2020

It would be good if there were more practice opportunities. Overall a good class for familiarization.

创建者 SHALIN S

Sep 16, 2020

week5-6 labs were tough for writing own code and for understanding. However for awareness, it was OK.