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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

2,425 classificações

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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76 — 100 de 512 Avaliações para o Understanding and Visualizing Data with Python

por Fryderyk Ł

13 de nov de 2021

Very good level of teaching, nice and clear instructions, good introduction to the topics of statistics, sampling and drawing all sorts of graphs, histograms and such. I reccomend it to anyone, no previous Python or statistical knowledge is required.

por Benjamin D

27 de mai de 2021

Excellent course. Well-paced, about right difficulty, and useful knowledge all around. Instructors were engaging and fun to listen to. The course managers seem to obviously care about this course, and the result is that the quality feels top-notch

por MMR

10 de jan de 2022

An excellent course that helps to grasp the ever elusive central limit theorem and its application to simple random sampling. It provides solid foundation for learning hypothesis testing and statistical inference. Coregulations team. Great work.

por Richard R

15 de abr de 2019

A well paced stats refresher which covered the core material well and skillfully introduced current research. The fourth week was a solid introduction to sampling methodologies and inference. Looking forward to the next course in the sequence.

por Kaimu E

7 de jan de 2020

I particularly liked the light introduction of new concepts like methods behind confidence intervals and hypothesis tests. These were then well emphasized via numerous Jupyter Notebooks of varying levels of difficulty. Highly recommendable.

por John P

5 de abr de 2020

Great explanation of statistics! Pretty much exactly what I was looking for, does a great job of explaining sampling theory, and the emphasis is placed more heavily on understanding the nature/theory of statistics than the Python aspect.

por Jafed E G

6 de jul de 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

por James C

28 de ago de 2021

Well structured and substantive course. Gives clear examples and applications of Pandas and Numpy, as well as Matplotlib and Seaborn to analyse data in the right way. Very useful, concrete, and applicable in real life work situations

por Jeffrey B

11 de abr de 2020

Terrific balance of information and incorporation of Python. I have programmed 40 years BUT am not in any way a programmer... this is my first ever use of Python. It was the perfect level... tough but I could hang enough to get it.

por Kalvin K

30 de mar de 2020

I really enjoyed taking this course. All the teachers did a great job in explaining the information in clear and understandable ways. The layout of the course was also organized which made the whole process easy. I would recommend.

por Alexander P

24 de dez de 2019

That is an amazing course for someone, who has at least a little bit of experience with Python under the belt! Definitely recommend it to anyone, who would like to refresh statistical knowledge, learn how to apply it in real life.

por RP

27 de set de 2022

Thoughtfully designed course with an excellent combination of stats basics and programming. It would be helpful to have some knowledge of the Python packages prior to starting this course or the learning curve can be steep.

por Ashly B

21 de mai de 2020

This is a great course to start with if you are a beginner to statistics and if you know a little bit of Python. The course material is very good, concepts have been explained very well and the assignments are interesting.

por Purushottam P

26 de abr de 2019

Thanks for everyone involved in preparing the course content. Gained a lot of insights from this course. Really opened my eyes on the basics of statistics. Will definitely complete all the courses of this specialization!

por Yibo T

20 de nov de 2021

I've learned a lot from this interesting introductory course. I greatly appreciate all the hard work that the course design group members have put in, and I would like to recommend the course to my peers and friends. :)

por Jayanth

10 de ago de 2020

Very informative course for beginners and this course motivates the learner to dive into statistics & python code ! jupyter notebooks are very useful which are provided in this course

Thank you for University of Michigan

por dileep Y

6 de jan de 2020

I felt pretty good by taking this course. It delves into details of statistics with good hands on python programming. Acts as good foundation course and Will be helpful further gaining knowledge on in depth courses.

por Hemanth B

11 de mai de 2020

A great course. They example the necessary concepts with the right depth and understanding. Also, love the assignment in python, aids in using them as a template while doing a similar analysis on another dataset.

por Teresita D

4 de jul de 2020

This is an excellent initial course for using python in statistical data processing and analysis of big sets of data, I appreciate the most the lectures on probability and non-probability sampling. Big Thanks.

por Kavan M

7 de mar de 2022

I loved this course. The lectures are great, and there are python labs that are followed by video lectures where amazing teaching assistants go over the labs and explain things. Really enjoyed the course.

por Zhao F

26 de jun de 2021

I have been struggling with statistics even I had studied psychometrics in university and graduate school. The course really prepared me to learn and to build my confidence. it's a great learning journey.


7 de fev de 2021

This course is comprehensively designed and outlined. it's good for the beginner of python and those who want to learn basic statistics. This course explains the concept of statistics with visualization.

por Rafagan S d C S M

28 de mar de 2021

The classes were well written and developed, teh only thing i felt lacked was some more difficult in the assigments. But i think on the next course in this specialization the difficult will inprove.

por simone z

17 de jan de 2021

Very nice course. You will recap and/or learn a lot of things that are usally not said. Following suggested readings you will find nice material even if some it is not free (please suggest others!).

por Agustín P

15 de jun de 2021

It is a great introduction to the basics of Statistics, all the concepts were laid out perfectly by the instructors. I can't wait to keep learning with the last 2 courses of the Specialization.