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Voltar para Understanding and Visualizing Data with Python

Comentários e feedback de alunos de Understanding and Visualizing Data with Python da instituição Universidade de Michigan

2,265 classificações
476 avaliações

Sobre o curso

In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling. At the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera....

Melhores avaliações


21 de mai de 2020

Excellent course materials, especially the videos, with content that is thoughtfully composed and carefully edited. Very good python training, great instructors, and overall great learning experience.


2 de ago de 2020

Great course to learn the basics! The supplementary material in Jupyter notebooks is extremely valuable. Really appreciate the PhD students who took the time to explain even the simplest of codes :)

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226 — 250 de 478 Avaliações para o Understanding and Visualizing Data with Python

por George Z

16 de mai de 2022

The only course out there focusing on inferential statistics. TOP


16 de jan de 2021

Superb faculties and awesome lectures overall an amazing course!!

por Randolph B H

1 de mai de 2021

loved it, great beginner course on visualizing data with python.

por Luis F T J

21 de fev de 2021

Exelente curso para personas con nivel intermedio en estadística

por Cheng-Ying W

29 de jul de 2020

Great! Learn some fundamental statistics knowledge with python.

por Fasasi T

10 de mar de 2019

I love this course, the simplicity and explanation is excellent

por aborucu

20 de jun de 2021

Thanks and hello to TA Brian @Forums you make the clock tick !

por Abhimanyu A

14 de jun de 2020

Very Good course for understanding visualisation and sampling.

por Ernesto J S B

8 de jun de 2020

Great Course to learn Statistics and Python. Great Teachers.

por David G

21 de fev de 2022

G​ood complementary course to any basics statistics course

por Ahmed A

12 de out de 2021

Thanks for this opportunity to learn from your university.

por Sera M

13 de jun de 2021

Great into to sampling theory and basic stats with python.

por Phu T H T

8 de dez de 2021

This is a good courses, it helps a lot of things, thank !

por Mukkamala R

5 de set de 2020

It was a great experience with some outstanding content.

por Yugesh K

2 de jun de 2020

The best course to start with statistics for a beginner.

por Álvaro M R

21 de mar de 2021

Great course. Very good content. Excellent instructors.

por Valeria C

3 de fev de 2021

Excellent course. Very clear explanation and examples.

por Md I

18 de abr de 2019

This is the best course in this website in entry level

por Varga I K

20 de mar de 2019

It was great setup for statistical analysis in python.

por Nicole D

28 de jul de 2021

V​ery thorough and a great review of Pandas and numpy

por Dương T

3 de nov de 2020

This is such a detailed and content-oriented course!

por Julián A U G

5 de jul de 2020

I liked it and I learned a lot. Thank you very much.

por Erick M A

21 de dez de 2019

A really good introduction to statistics with python

por Andrey K

25 de jan de 2021

A very nice introduction to statistics with python.

por Nick S

13 de fev de 2022

Wonderful introduction course. Excellent teachers.