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學生對 Coursera Project Network 提供的 Basic Statistics in Python (ANOVA) 的評價和反饋

4.4
21 個評分
8 條評論

課程概述

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 個評論(共 8 個)

創建者 Acacio P

2021年4月22日

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

創建者 Dony E A

2021年3月31日

very helpful

創建者 Mohamad F H

2021年2月21日

Nice Course

創建者 Aya A D

2021年2月12日

Insightful!

創建者 sameer s

2020年11月8日

i loved it.

創建者 yoona_gou

2021年6月17日

usefull

創建者 Goh J H

2020年11月13日

great

創建者 Olga D

2021年3月1日

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.