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Вернуться к Basic Statistics in Python (ANOVA)

Отзывы учащихся о курсе Basic Statistics in Python (ANOVA) от партнера Coursera Project Network

Оценки: 25
Рецензии: 10

О курсе

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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1–10 из 10 отзывов о курсе Basic Statistics in Python (ANOVA)

автор: Acacio P

22 апр. 2021 г.

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

автор: Olga D

1 мар. 2021 г.

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.

автор: Dony E A

31 мар. 2021 г.

very helpful

автор: Mohamad F H

21 февр. 2021 г.

Nice Course

автор: Aya A D

12 февр. 2021 г.


автор: Shaik S

8 нояб. 2020 г.

i loved it.

автор: yoona_gou

17 июня 2021 г.


автор: Goh J H

13 нояб. 2020 г.


автор: Julius B

3 мая 2022 г.

Google Colab was great

автор: Joe W

4 мая 2022 г.

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.