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Understanding and Visualizing Data with Python, Мичиганский университет

4.5
Оценки: 70
Рецензии: 21

Об этом курсе

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....

Лучшие рецензии

автор: JS

Jan 24, 2019

I strongly recommend this course to those who want to begin python programming applied to statistics. It launches a very sound foundation for statistical inference theory.

автор: RR

Feb 21, 2019

Very good course instructors ! Excellent balance of basics of statistics and python programming oriented towards data analysis. Thoroughly enjoyed the course material.

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Рецензии: 22

автор: Meghana Kharod

Mar 26, 2019

Thank you so much for this course. I loved it! :)

автор: cameron grams

Mar 21, 2019

Great introduction

автор: Varga Imre Károly

Mar 20, 2019

It was great setup for statistical analysis in python.

автор: Patricia Cucio Guisordi

Mar 19, 2019

I loved this course! Thank you for sharing all your knowledge with us!

автор: Fasasi tobi

Mar 10, 2019

I love this course, the simplicity and explanation is excellent

автор: Alejandro Piñero

Mar 07, 2019

Great approach.

автор: Purushottam Prabhakar

Mar 06, 2019

best for beginer

автор: Daniel Rechitsky

Feb 22, 2019

Lectures are great but there's little practice material and the quizzes are terrible. The quizzes are actually super easy but they don't cover much material from the course and sometimes introduce concepts and terms that were nowhere in the course materials.

If you want a good intro to stats without any actual testing, the lectures get pretty in-depth and the explanations are excellent! But if you're looking for lots of practice with stats in Python, you won't get much here.

автор: Rajesh Raghavan

Feb 21, 2019

Very good course instructors ! Excellent balance of basics of statistics and python programming oriented towards data analysis. Thoroughly enjoyed the course material.

автор: Jorge Alfonso

Feb 10, 2019

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