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学生对 IBM 提供的 使用 Python 进行数据分析 的评价和反馈

4.7
11,571 个评分
1,661 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 20, 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 06, 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:

1551 - 使用 Python 进行数据分析 的 1575 个评论(共 1,648 个)

创建者 Mia W

Dec 27, 2019

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

创建者 Michael A D R

Nov 01, 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 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.

创建者 Ankit S

Jan 29, 2020

It would be nice if the course had more assignments.

创建者 Bhanu S

Apr 28, 2019

It was difficult to retain the knowledge imparted.

创建者 Alton M

Jun 08, 2019

The course requires more interactive programming.

创建者 XIANGYU L

Jan 19, 2019

There are lots of mistakes throughout the courses

创建者 Abdul M A

Apr 17, 2019

Not very interactive with fewer help to learners

创建者 Ashwin G

Apr 26, 2019

Too fast and could have included more examples.

创建者 Gerhard E

Feb 12, 2019

Copy of videos, not a fan of tools used in labs

创建者 ABOUDA Y

Feb 03, 2020

Un cours riche et adéquat pour les débutants

创建者 Ambe E

Nov 27, 2019

Very nice course. It gives you what you need

创建者 Brian S

Mar 29, 2020

Notebooks are sloppy, with typos and errors

创建者 Sachin L

Sep 26, 2019

More examples and detailed explanation

创建者 Nilanjana

Jul 12, 2019

More examples and code examples needed

创建者 Hamed A

Apr 09, 2019

The course needs a final assignment!

创建者 piyush d

Dec 06, 2019

exercises could have been better.

创建者 Jyoti M

Mar 26, 2020

I felt it was too fast to grasp.