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学生对 密歇根大学 提供的 Understanding and Visualizing Data with Python 的评价和反馈

4.7
2,192 个评分
451 条评论

课程概述

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....

热门审阅

AT
May 21, 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.

VV
Aug 2, 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 :)

筛选依据:

101 - Understanding and Visualizing Data with Python 的 125 个评论(共 452 个)

创建者 SAMIT P B ( i C

Jun 1, 2020

Great course if you want to get a good grasp of intro to statistics. What this course offers is a great content on how to use proper statistical modelling for research.

创建者 Rajesh R

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.

创建者 K s d s E

May 11, 2020

Great course to learn about the basic tools which will be helpful in data visualization and this course also gives an insight explanation of where the data comes from.

创建者 Anand M

Mar 1, 2020

The course is very good & it gives a confidence to people like me who are new to Python .

It would be great If you can explain the hypothesis section in more detail .

创建者 Sangbaek P

Apr 11, 2019

Really helpful to build a foundation for the basic Python and improve the understanding on basic but key concepts on statistics and visualizing techniques. Awesome!

创建者 Gregory J O C

Aug 3, 2020

It's a very nice course, which narrows complicated statistics concepts to understandable size, additionally, each concept is explained through hands-on exercises!

创建者 Dinesh S W

May 9, 2020

its more benificial for me becasuse visulization of the data is very important understand in analysis part that i have gained very easy from you thankyou so much

创建者 Gurprem S

Jun 14, 2020

The course is comprehensive and good for beginners. Highly recommend if you are starting out as a data scientist or even if you are a beginner python programmer.

创建者 Rishabh S

Jul 9, 2020

excellent course. if want to know what is data data and want to visualize data then you should do this course. Excellent course material, videos, quiz and more.

创建者 Aritra G

Jan 24, 2021

That is a wonderful course . I learn a lot of things . I love it . The introduction of course by Brenda Gunderson is amazing . and other instructor are also .

创建者 Sunit K

May 25, 2020

Very informative course! helps you increase your depth of knowledge in Statistics. Would highly recommend to any aspiring Data Analysts and Data Scientists.

创建者 Bryan S C C

Jun 27, 2020

It is a very explanatory course with instructors trained in the subject. The class materials are varied, which allows new technical skills to be developed.

创建者 Sumit M

Mar 30, 2020

It's a very good course to learn statistics for data analysis and data science. The instructors were great and the information they gave was just precious.

创建者 Nick S

Dec 27, 2019

Great course to review basic statistical concepts. The added component of python was a practical way to learn python and apply it to real situations.

创建者 Alparslan T

Oct 23, 2021

Well, those sampling courses couldn't be more beneficial. It answered many questions i my mind. Thanks Umich and Coursera for the solid course!

创建者 Tran T T

Aug 24, 2020

The course provides basic knowledge and concepts of statistics in Python, which is very useful for someone who aims at the data science career.

创建者 Zhibek D

Sep 1, 2020

Great course! Tons of useful materials, allocation of topics and workload corresponds to the course level and time indicated to complete them.

创建者 Tomasz M

Jul 24, 2021

Comprehensive introduction into the world of statistics. Lots of focus put on the explaining the main rules. I highly recommend this course.

创建者 Philippe G

Aug 14, 2021

Very thorough and comprehensive. The Python labs are a great complement, but introductory knowledge of Python is strongly recommended...

创建者 Lydia W

Apr 14, 2020

Very great Statistics course with hands on python experience. No matter how much you already knew, it was a great course to start with.

创建者 Jeffrey E F

Apr 26, 2020

This is an excellent course for a basic understanding of data and data visualization. It also was a good introduction to using Python.

创建者 Dr.R. T

Aug 31, 2020

Beneficial course I thank Coursera for providing such a useful approach with an innovative method of evaluation and problem-solving.

创建者 Nipun J

May 30, 2020

I recommend this course to all the data science enthusiast and request to understand precisely the intricate details of this course.

创建者 Vijay K

Feb 15, 2021

It was very helpful to kickstart my research project that involves statistical data analysis, mathematical modelling and simulation

创建者 Walt T S L

Nov 20, 2020

Great introduction to statistics, applied using Python Jupyter Notebooks. Python Code was comprehensive and enabled easy following.