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Retour à Basic Statistics in Python (ANOVA)

Avis et commentaires pour d'étudiants pour Basic Statistics in Python (ANOVA) par Coursera Project Network

25 évaluations

À propos du cours

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 sur 10 Avis pour Basic Statistics in Python (ANOVA)

par Acacio P

22 avr. 2021

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

par Olga D

1 mars 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.

par Dony E A

31 mars 2021

very helpful

par Mohamad F H

21 févr. 2021

Nice Course

par Aya A D

12 févr. 2021


par Shaik S

8 nov. 2020

i loved it.

par yoona_gou

17 juin 2021


par Goh J H

13 nov. 2020


par Julius B

3 mai 2022

Google Colab was great

par Joe W

4 mai 2022

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.