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学生对 Coursera Project Network 提供的 Basic Statistics in Python (ANOVA) 的评价和反馈

4.4
21 个评分
8 条评论

课程概述

In this 1-hour long project-based course, you will learn how to set up a Google Colab notebook, source data from the internet, load data into Python, merge two datasets, clean data, perform exploratory data analysis, carry out ANOVA and create boxplots. Throughout the course you will work on an Education dataset from World Bank. This will allow you to perform statistical analysis on your own datasets in Python. This project does not require any previous Python or coding experience, but it would be useful for learners to understand the statistical methods covered. The course includes data sourcing and cleaning which are invaluable real world skills, and focuses on visualizing your results which is needed as a large part of any analysis is the storytelling....

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1 - Basic Statistics in Python (ANOVA) 的 8 个评论(共 8 个)

创建者 Acacio P

Apr 22, 2021

This a great course, but I'd like to have more explanation about how we could interpret the results from ANOVA.

创建者 Dony E A

Mar 31, 2021

very helpful

创建者 Mohamad F H

Feb 21, 2021

Nice Course

创建者 Aya A D

Feb 12, 2021

Insightful!

创建者 sameer s

Nov 8, 2020

i loved it.

创建者 yoona_gou

Jun 17, 2021

usefull

创建者 Goh J H

Nov 13, 2020

great

创建者 Olga D

Mar 1, 2021

This project provides step-by-step guidance into accessing the well-structured data files from the web, cleaning them, and later visualizing. This project requires the usage of the basic operations of data processing and essentials in data plotting. However, in order to be able to follow the project, a basic understanding of Python is necessary. So for those who have them, the project might be too easy. Unfortunately, it was not properly explained how to understand the obtained statistical parameters and what they indicate.