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Volver a Basic Statistics in Python (ANOVA)

Opiniones y comentarios de aprendices correspondientes a Basic Statistics in Python (ANOVA) por parte de Coursera Project Network

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21 calificaciones
8 reseña

Acerca del Curso

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 - 8 de 8 revisiones para Basic Statistics in Python (ANOVA)

por Acacio P

22 de abr. de 2021

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

por Dony E A

31 de mar. de 2021

very helpful

por Mohamad F H

21 de feb. de 2021

Nice Course

por Aya A D

12 de feb. de 2021

Insightful!

por sameer s

8 de nov. de 2020

i loved it.

por yoona_gou

17 de jun. de 2021

usefull

por Goh J H

13 de nov. de 2020

great

por Olga D

1 de mar. de 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.