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返回到 探索性数据分析

學生對 Coursera Project Network 提供的 探索性数据分析 的評價和反饋

4.3
124 個評分
16 條評論

課程概述

In this 1-hour long project-based course, you will learn exploratory data analysis techniques and create visual methods to analyze trends, patterns, and relationships in the data. By the end of this project, you will have applied EDA on a real-world dataset. This class is for learners who want to use Python for applying data visualization and data analysis, and for learners who are currently taking a basic machine learning course or have already finished a machine learning course and are searching for a practical data visualization and analysis project course. Also, this project provides learners with basic knowledge about exploratory analysis and improves their skills in creating maps which helps them in fulfilling their career goals by adding this project to their portfolios....

熱門審閱

SW
2020年7月2日

this course ended me up with brilliant coding skills and python skills which i can use in my business data analysis while working on excel giving presentations.

AP
2020年7月28日

Overall, the certificate course is useful to explore data sets and understand the functionality to visualize data in different manner.

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1 - 探索性数据分析 的 16 個評論(共 16 個)

創建者 Marwa A E

2020年8月2日

Nice introductory for EDA using python, but not for absolute beginners if they will get caught in the code itself then they need to understand the packages used first then start this project before getting into how to deal with the information understood after doing EDA on their datasets.

For me, it was a very good project to sum up what i want to do with my own projects at work.

Big thanks to the instructor.

創建者 SYED M W

2020年7月3日

this course ended me up with brilliant coding skills and python skills which i can use in my business data analysis while working on excel giving presentations.

創建者 Amol P

2020年7月29日

Overall, the certificate course is useful to explore data sets and understand the functionality to visualize data in different manner.

創建者 Jorge G

2021年2月25日

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously.

創建者 Adil A

2020年11月15日

NOTHING WAS EASY TO UNDERSTAND. NEED TO BE MUCH CLEAR AND UNDERSTANDABLE .

創建者 Cheikh B

2020年12月6日

I love all of your projects very easy to understand low code and good explaination.

Thanks Mo Rebaie and Coursera

創建者 Ruslan T

2020年7月19日

Quite easy and nice course if you want to do first steps in data analysis with python

創建者 Vicente A M

2020年7月13日

I learned a lot throughout this week, excellent course!

創建者 Jimboy D G

2020年11月3日

Thank you for making this course.

創建者 Aya A D

2021年2月17日

Nice course

創建者 Muhammad M

2020年12月25日

infomative

創建者 Deepak K

2020年11月5日

Thank You

創建者 Jitin S

2020年9月11日

GOOD

創建者 Mike C

2020年11月24日

It was a good overview on using pandas, numpy, scipy.stats, and matplotlib to do exploratory data analysis on a csv file. It could have spent a little more time explaining the library calls used, but for me that was OK because I had the course up on one monitor and Google up on another.

創建者 haider a

2020年10月28日

Not so much explanation but useful code for data analysis

創建者 Lovely E

2021年10月22日

There were some inconsistent parts of the video. I noticed an error during the histogram plot section. Also, I encountered an error in the workspace where it said the session lasted too long and that I would not have access to the workspace anymore.