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學生對 IBM 技能网络 提供的 使用 Python 进行数据分析 的評價和反饋

4.7
15,264 個評分

課程概述

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....

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SC

2020年5月5日

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

2019年4月19日

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.

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1951 - 使用 Python 进行数据分析 的 1975 個評論(共 2,309 個)

創建者 Themba M

2020年6月11日

Explanation of lab steps has a room for improvement.

創建者 Andres E S G

2020年1月11日

It could have a little more theory about statistics.

創建者 Adesua A D

2019年11月4日

My first course on coursera and its very informative

創建者 Alexandru S

2019年6月3日

A lot of information, it is at times hard to follow.

創建者 Boru R

2020年9月6日

good course, but final assignment is way too simple

創建者 siu t

2020年7月19日

Week 4 was too hard, while other modules were okay.

創建者 Pham T S

2020年6月13日

Very good course for learning about buidling models

創建者 Neelam S

2020年1月3日

Examples should contain more codes used frequently.

創建者 ZJ Y

2019年10月1日

it might need updating according to the new version

創建者 Eirini K

2020年5月20日

Quite good to begin with, but not going in depth.

創建者 Selina Z

2019年9月26日

Good resource to have a knowledge of pandas, etc.

創建者 Deepratna A

2019年6月24日

Time and topic depth are not proportional at all.

創建者 Patricia W

2020年8月23日

I thought it should be a little more assistance.

創建者 khaled C

2020年4月22日

There are some little mistakes in the notebooks.

創建者 Malege T M

2019年8月26日

A thoroughly impactful and well presented course

創建者 Sachin M

2021年6月29日

Need more details other-wise very good course.

創建者 Hussain T

2019年4月30日

a good course but its not going deep in things

創建者 Serdar M

2018年11月16日

would be better if there were more exercises.

創建者 SARAVANAN M

2021年8月18日

Not very easy to understand the coding part.

創建者 Myrlene C

2021年3月15日

Great Course.. It went a bit too fast though

創建者 Shashank V M

2020年4月9日

Simple as compared to real world challenges.

創建者 GSR S

2019年9月20日

Good Lab examples and thorough explanations.

創建者 Ali N

2019年7月17日

It was a good course. The labs were helpful.

創建者 Balavignesh R C

2018年12月18日

Good Understanding of Data Science concepts.

創建者 Priyanka S

2021年5月30日

Good course for beginners in data analysis