Chevron Left
Volver a Avoiding Data Science Pitfalls

Opiniones y comentarios de aprendices correspondientes a Avoiding Data Science Pitfalls por parte de Coursera Project Network

Acerca del Curso

In this 2-hour long project-based course, you will learn some important statistical concepts with examples & visuals, concepts that are most commonly mistaken in data analysis and how to ensure you don’t fall for them....
Filtrar por:

1 - 2 de 2 revisiones para Avoiding Data Science Pitfalls

por Ran B R

9 de jun. de 2021

Some useful discussion and a bit of example use of seaborn, but overall explained little. Descriptions of pitfalls were lacking, mostly either: 1) not well-motivated: "don't make these specific assumption about predicting growth or quality of life in cities" or 2) lacking solution: "if you know two things are not causally related, don't trust correlation" Much of the video showed (slow) typing of code without explaining what it did or why

por Ana I

28 de nov. de 2021

The material didn't work, the workspace was stuck after 3 seconds of video :(