Understanding and Visualizing Data with Python(으)로 돌아가기

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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....

AT

2020년 5월 21일

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

2020년 8월 2일

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 :)

필터링 기준:

교육 기관: Daniel R

•2019년 2월 21일

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.

교육 기관: Hugo I V R

•2019년 5월 9일

This can be a quite helpful course for beginners. I really liked the course because it thoroughly introduced me into Seaborn (visualization library) which I was unaware of. Also, some of the practical exercises truly help you develop your pandas skills. I really enjoyed week 1-3, which truly challenged me and introduced me to new concepts with a good balance between practical and theoretical. However, week 4 felt a bit off. The contents could've been split into two weeks. The practical tasks are minimal compared to readings and videos. And the final quiz covers like 15% of all that was taught in the week. Concepts like CDF were never taught but employed at the end when talking about the empirical rule.

교육 기관: Kristoffer H

•2019년 1월 10일

This course still has spelling mistakes in its quizzes, which in a programming focused course are big, and the instructors don't seem interested in fixing them. The result is you have to guess through their mistakes if code is suppose to not work in a quiz because of the error or the error is not supposed to be there in the first place and the code is valid.

교육 기관: Aayush G

•2019년 4월 15일

I must say that this is a must take course for ones who are aspiring a career in Data Science. All the concepts were laid out so beautifully and it was explained very clearly with visualisations of each real-life-examples. I enrolled in this specialisation before starting my Machine Learning so that I have all the necessary fundamentals of Statistics. Brady Sir & Brendra Ma'am are simply phenomenal, the way they explain the concepts are incredible. The concepts gets etched in one's memory. The most exciting part of the course is Brenda Ma'am performing a cartwheel !! For all the ones who are enrolled, don't forget to watch it out.

교육 기관: Mahika R

•2020년 6월 3일

Never have I come across a course half as interactive as this and it was a much needed confidence booster for a beginner like me. I look forward to completing the specialization : )

교육 기관: Filip G

•2019년 4월 4일

Excellent introductory course to statistics. Great use of NHANES dataset to demonstrate techniques on real dataset. I would appreciate a more demanding project at the course end.

교육 기관: Jadson P

•2019년 1월 23일

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.

교육 기관: Nirmal M

•2019년 4월 19일

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

교육 기관: David W

•2019년 4월 14일

I love the U of M courses! I get so much out of them. Thank you again for helping me to advance my knowledge of Python and deepen my understanding of statistics.

교육 기관: Nitish K N

•2019년 9월 2일

This is the foundation course every aspiring data scientist needs

교육 기관: Bart T C

•2018년 12월 31일

This course is definitely a beginner level course in both python and stats, but it is very well done, and there is plenty of content.

교육 기관: Jan T

•2019년 8월 7일

More hands on assignments would be desirable.

교육 기관: tuncay d

•2019년 1월 31일

this course is well below my expectations. there are none real life examples or detailed visualizations, except a few simple plots. There is no step by step coding lectures. There are some youtube videos which are much better than this. Dont waste your time if your goal is to learn python, other than getting some certification.

교육 기관: José A G P

•2019년 4월 16일

The course contents are good to an introduction or refreshing in statistics but the assigments are not really well prepared, and contains many unrepaired errors. This drops down the level an educational potential of this course (and the entire specialization) and converts it in a poor educational resource and a waste of time, in my opinion

교육 기관: Andrew T

•2020년 5월 22일

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.

교육 기관: Vishnu S V

•2020년 8월 3일

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 :)

교육 기관: Abhishek Y

•2020년 5월 17일

Great course but python programming part is bit confusing, can be done on IDLE instead.

교육 기관: Darien M

•2019년 11월 26일

Overall a poorly designed course. If you know a little bit of stats and are hoping to expand your Python skill set, then don't even bother wasting your time with this class. The programming instruction is extremely weak. This is basically an intro level college stats course but the instruction is completely lecture based and quite poor (much of the instruction is left to TAs). The quizzes and programming exercises are not challenging.

This course gets two starts from me because the practice programming exercises are actually great, but no answers are provided so it is hard to check your understanding of these problems.

교육 기관: Sunyoung P

•2020년 11월 29일

I don't understand what is the point of the video lectures. The lecturers are just reading the PowerPoint slides. Their focus is not on how to help the students understand the concepts but on how to read the slides as soon as possible without misreading words.

The contents are good, but while I was listening to the lectures, I just realized that it would be exactly the same as reading the slides on my own.

교육 기관: S M S S

•2020년 6월 27일

From my point of view, this course was very fundamental for learning statistics with python . I have learnt a lot about different statistical model with how to describe by visualizing them. I have also studied uni-variate , multi-variate data analysis and introduced to a practical NHANES model which was implemented on python code to get different visualization of data analysis. Finally also learnt about using sampling distribution , sampling variance and probability and non-probability sample. This course will definitely boost up confidence for statistical analysis with python.

교육 기관: Pankaj B

•2019년 12월 13일

The content is very comprehensive, provides an introduction about all the useful things necessary to do statistical data analysis with Python. However, some of the quiz questions are ambiguous and its not clear to me why the chosen answer was the correct one. I submitted feedback on one of these quizzes but I didn't receive any response. Other than that, I felt the instructors did a great job of explaining the fundamental concepts in statistics and the basic tools in Python, and I am glad at having taken this course.

교육 기관: Minas-Marios V

•2020년 4월 23일

This course introduces basic but crucial statistical concepts that any data analyst should be aware of, and offers detailed explanations of the steps that one should follow when desinging an observational survey. I have had several courses online and on campus, but none have done such a great job at explaining study design as this one. Note, however, that knowledge of basic Python programming is a must-have before attending this course, and I would also recommending getting one or two tutorials on numpy and pandas.

교육 기관: Antonello P

•2020년 7월 22일

Very good course for people that don't have any knowledge of statistics, like me. The material is detailed, the concepts are explained clearly in the lectures and the instructors make it easy to follow.

I don't understand why people complain about the programming assignments being difficult. Normally they cover things that are shown in the lectures. When that is not the case, links to the relevant documentation pages are presented. If anything the assignments are too easy and there should be more.

교육 기관: ILYA N

•2019년 8월 16일

They cover basics like normal distribution, z-scores, and plotting data with scatterplots/histograms. In week 4, they give a fairly detailed overview of distribution sampling, and hammer home that you need to be cognizant of bias in your data. To me the most useful aspect of the course were links to third-party articles and web-sites that I would not have discovered otherwise (such as the app from Brown where you can play with different distributions).

교육 기관: Tarit G

•2020년 7월 2일

Excellent course to learn different statistical ways of understanding and visualizing datasets. Also, it was taught how to gather data. What I like about this course is, besides explaining every topic clearly, the instructors have commented on when to use that and when not to and drawbacks of that concept. The instructors were great at explaining things. I am very thankful to the instructors, team and the University of Michigan.