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

25 個評分
10 條評論


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....



1 - Basic Statistics in Python (ANOVA) 的 10 個評論(共 10 個)

創建者 Acacio P


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

創建者 Olga D


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.

創建者 Dony E A


very helpful

創建者 Mohamad F H


Nice Course

創建者 Aya A D



創建者 Shaik S


i loved it.

創建者 yoona_gou



創建者 Goh J H



創建者 Julius B


Google Colab was great

創建者 Joe W


D​ataset used for this project is unavailable as of 04 May 2022.

A​udio rendering is difficult to understand and comes across as "mumbling" into microphone.

Not possible to retrieve the specific dataset from the World Bank used by the instructor.

M​oreover, the dataset is too large to illustrate a simple problem of displaying bunch of boxplots.

I​'m very disappointed in having wasted several hours on the project.