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返回到 使用 Python 进行数据分析

学生对 IBM 提供的 使用 Python 进行数据分析 的评价和反馈

4.7
12,461 个评分
1,808 条评论

课程概述

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

热门审阅

RP
Apr 19, 2019

perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.

SC
May 5, 2020

I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.

筛选依据:

1501 - 使用 Python 进行数据分析 的 1525 个评论(共 1,788 个)

创建者 Deepratna A

Jun 24, 2019

Time and topic depth are not proportional at all.

创建者 Patricia W

Aug 23, 2020

I thought it should be a little more assistance.

创建者 khaled C

Apr 22, 2020

There are some little mistakes in the notebooks.

创建者 Malege T M

Aug 26, 2019

A thoroughly impactful and well presented course

创建者 Hussain T

Apr 30, 2019

a good course but its not going deep in things

创建者 Serdar M

Nov 16, 2018

would be better if there were more exercises.

创建者 Shashank V M

Apr 9, 2020

Simple as compared to real world challenges.

创建者 Rohitaksh

Sep 20, 2019

Good Lab examples and thorough explanations.

创建者 Ali N

Jul 17, 2019

It was a good course. The labs were helpful.

创建者 Balavignesh R C

Dec 18, 2018

Good Understanding of Data Science concepts.

创建者 Sai V A

Apr 19, 2020

good course with almost all topics covered

创建者 hayoung_lee@kbfg.com

Apr 7, 2020

Easy to follow. Comprehensive explanation.

创建者 Ahmad F

Jan 18, 2019

concepts were not explained very carefully

创建者 KONDAPALLI N K

May 13, 2020

Excellent course with detail description.

创建者 Manish C

Mar 28, 2020

Best data analysis course for beginners .

创建者 MOUSSA S

Apr 26, 2020

Excellent ! Helped me discover new tools

创建者 Harshil G

Apr 29, 2020

It's very good start into data science.

创建者 Oladeji S O

May 13, 2020

Wonderful course, I really enjoyed it

创建者 Asmita K

Oct 6, 2019

Average Course with simple learning.

创建者 Mithun k S

May 2, 2020

linkage between each module require

创建者 Ardit Z

Feb 2, 2020

Too easy. Make it more challenging!

创建者 Sachin G

May 29, 2019

should have more thorough examples

创建者 Liliana R

Nov 14, 2018

There are some errors in the labs

创建者 Rauf S

Apr 8, 2020

you can explain more efficiently

创建者 José C D S

Jun 7, 2019

It took me longer than estimated