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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:

851 - Data Analysis with Python 的 875 个评论(共 3,098 个)

创建者 Suhas S

Mar 15, 2019

It is really a Good course. All the topics have been covered in the proper way.

创建者 Ganesh C

Jul 4, 2023

I have learned some basic term which are used for data analysis. Thank You ...

创建者 Mary R D

Oct 27, 2022

I enjoyed taking this course. Learned a lot but still need to practice more.

创建者 Donald A

May 22, 2020

You are sure to come out refined in your data analysis skills with this course

创建者 Darshan P

May 10, 2020

I really like the pace, explanation and details with example for the beginner.

创建者 Manish P

May 9, 2020

Very thorough material. Absolutely recommend it to anyone new to this subject.

创建者 Zvonimir K

Apr 3, 2019

Good introduction into data analyzing with python and choosing the best models

创建者 Ali R ( R

Nov 1, 2018

well structured course, and easy to follow, altough it gets tough ar the end:)

创建者 ARGUMEDO A

Nov 10, 2024

Very well organized course, the modules fullfill all the learning objectives.

创建者 saeid a f

Dec 22, 2022

it was good course and help me a lot ,thanks coursera providing such cources

创建者 Maria T C

Nov 8, 2020

Great course and a lot of sample cases how data analysis may be used. Thanks!

创建者 Divyansh B

Apr 20, 2020

Very well explained, with all the concepts reinforced with practicals and lab

创建者 Jhon H L G

Jan 14, 2020

Excelente curso! el aprendizaje de consejos y optimizar el código fue genial!

创建者 Nitin V

Apr 26, 2019

It is an awesome course. But the practice is the only key to strengthen this.

创建者 Sherita K

Nov 30, 2022

This was my toughest course by far, but I've learned so much!! Great course!

创建者 Francisco A

Mar 31, 2020

A complete journey throught Data analysis and a refreshment about statistics

创建者 Жовтобрюх Д А

Mar 19, 2020

It's an extremely useful course to make you more familiar with data analysis

创建者 CARLOS A U F

Feb 28, 2020

Excelente curso introductorio para la analítica de datos y el uso de Python.

创建者 Grey X

Jan 8, 2020

The practice after the lecture should be more difficult. This is too easy...

创建者 Pouyan K

Jul 23, 2019

it is not a very organized course, the material is not explained explicitly.

创建者 Hadi S

Jun 14, 2019

This course helped me to enhance my knowledge of data analysis using Python.

创建者 Eik U H

Dec 12, 2018

It would be nice if teaching staff could correct notified errors in quizzes.

创建者 Ricardo O

Feb 7, 2022

O Coursera sempre surpreendendo com seus conteúdos. Altamente recomendavél.

创建者 Dustin E

Jul 28, 2021

One of the most informative and hands-on courses that I have done thus far.

创建者 Dr. A J

May 28, 2020

course was very informative and very well organized. Full credit to teacher