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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
11,641 个评分
1,676 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

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.

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.

筛选依据:

1551 - 使用 Python 进行数据分析 的 1575 个评论(共 1,659 个)

创建者 Arjun S C

Aug 14, 2019

Lots of bugs and errors. No instructors reply on the discussion forum.

创建者 Anvit S

May 13, 2020

Could have been more detailed....Important concepts just brushed thru

创建者 Holly R

Apr 16, 2020

Could use some better mathematical description of the techniques.

创建者 Filippo M

Sep 27, 2019

Useful course, but the IBM online platforms are not working well.

创建者 Robert P

May 17, 2019

Some concepts were quite confusing and not that well explained.

创建者 Atharva Y

Jan 23, 2020

As compared to other courses this course seems to be too fast

创建者 Nirav

Jun 26, 2019

Lot's of errors in this course, please update and correct it.

创建者 Anmol K P

Oct 14, 2019

Course could have been more elaborate in depth and scenarios

创建者 Tichaona M

Aug 05, 2020

This is a great course for building the base to use Python!

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.