Chevron Left
Volver a Inferential Statistical Analysis with Python

Opiniones y comentarios de aprendices correspondientes a Inferential Statistical Analysis with Python por parte de Universidad de Míchigan

4.6
estrellas
828 calificaciones

Acerca del Curso

In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will also use sample data to assess whether or not a theory about the value of a parameter is consistent with the data. A major focus will be on interpreting inferential results appropriately. At the end of each week, learners will apply what they’ve learned using Python within the course environment. During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera....

Principales reseñas

RZ

1 de abr. de 2020

This is a very great course. Statistics by itself is a very powerful tool for solving real world problems. Combine it with the knowledge of Python, there no limit to what you can achieve.

RS

21 de ene. de 2021

Very good course content and mentors & teachers. The course content was very structured. I learnt a lot from the course and gained skills which will definitely gonna help me in future.

Filtrar por:

126 - 149 de 149 revisiones para Inferential Statistical Analysis with Python

por Khaled S A

23 de mar. de 2020

por Kim J

16 de oct. de 2020

por Louise P

29 de oct. de 2022

por Bill G

24 de feb. de 2020

por k v r

21 de abr. de 2020

por Nero

5 de ago. de 2022

por Kevin K

29 de oct. de 2019

por Pankaj K

21 de may. de 2020

por Ricardo W E

21 de sep. de 2020

por Frank S Y R

14 de feb. de 2019

por Feng L

5 de sep. de 2022

por Harshvardhan K

14 de oct. de 2020

por Sidclay J d S

17 de sep. de 2020

por Lars K

16 de ene. de 2022

por Aritra G

6 de jun. de 2021

por Christine B

20 de sep. de 2019

por Marnix W

3 de ene. de 2020

por divyam

6 de oct. de 2019

por Andres R d S

14 de ene. de 2020

por Derek B

4 de may. de 2022

por Houtan G J

24 de jun. de 2020

por Marangely A

14 de ene. de 2021

por VENIGALLA N S V J

6 de jun. de 2020

por Darien M

29 de nov. de 2019