Chevron Left
Zurück zu Basic Statistics in Python (ANOVA)

Bewertung und Feedback des Lernenden für Basic Statistics in Python (ANOVA) von Coursera Project Network

27 Bewertungen

Über den Kurs

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....


Filtern nach:

1 - 10 von 10 Bewertungen für Basic Statistics in Python (ANOVA)

von Acacio P

22. Apr. 2021

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

von Olga D

1. März 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.

von Dony E A

31. März 2021

very helpful

von Mohamad F H

21. Feb. 2021

Nice Course

von Aya A D

12. Feb. 2021


von Shaik S

8. Nov. 2020

i loved it.

von yoona_gou

17. Juni 2021


von Goh J H

13. Nov. 2020


von Julius B

3. Mai 2022

Google Colab was great

von Joe W

4. Mai 2022

Dataset used for this project is unavailable as of 04 May 2022.

Audio 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.

Moreover, 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.