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Opiniones y comentarios de aprendices correspondientes a Introduction to Data Science in Python por parte de Universidad de Míchigan

4.5
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19,451 calificaciones
4,382 revisiones

Acerca del Curso

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....

Principales revisiones

PK

May 10, 2020

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

SI

Mar 16, 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

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3051 - 3075 de 4,322 revisiones para Introduction to Data Science in Python

por Ravneet K

Aug 26, 2018

the questions of assignments could have been framed in a better way. Some questions are very confusing and even the forum doesn't help all times.

por Harsh G

Jun 03, 2020

Last Assignment which is Hypothesis Testing could be more elaborated and more reading material could be provided there for better understanding.

por Jatin R

May 16, 2020

The course was Great. You got to learn so many things. The assignment is so challenging it will definitely increase your knowledge for the same.

por Víctor A M G

Jan 27, 2020

Very difficult course, very challenging in terms of the validation tool for the homework, but undoubtly I learned very much from it. Thank you !

por Amol V B

Jan 07, 2019

I would like to refer to all beginnner.. coursera is the best content to learn data science and Machine learning..

Amol Billale

AI & ML Researcher

por Augustus E

May 11, 2020

Great course. I'll recommend changes for the assignments. Some were really vague, especially with the workings. It made them quite challenging.

por Wynona R N

May 07, 2020

This is a good course. It is challenging yet fun. Instructors are very helpful for the assignments. I believe I learned a lot from this course.

por Pawroosh M

Sep 10, 2019

I feel the pace of teaching the coding pieces should be slower and clearer. However, overall it is a decent jump-start to learning data science

por Ashutosh S

May 05, 2020

The course was great though the assignments should have more clarity in terms of the questions and language ambiguity should be taken care of.

por Purvansh s

Mar 31, 2020

It was a great experience to be a part of this course, the explanation was awesome, the hands-on practice was superb, I loved the course alot.

por lazar m

Nov 17, 2019

I learned a lot about Pandas (Dataframe and Series), it's a powerful library. However the course didn't dig enough the statistics part. Thanks

por Mariusz K

Nov 10, 2019

Too little of expounding and too much of searching the net by oneself. Too few examples. It is a self-learning but what's the Course for then?

por Hungy Y

Aug 09, 2017

Do more examples & explain more theory on screen, rather than have the camera focus on the lecturer.

Highly useful intro tutorial. Thanks team.

por tanishk s

Jun 17, 2017

if you are new to the field this should be in your way to excel. had a great time . pls do refer to the books suggested it is surely necessary

por Stefanie N

Nov 25, 2017

The help in the forum was good, the assignments were fun although I always had some problems with the grader at first, some resolved some not

por Roshni G

Feb 02, 2017

The assignments were challenging and cool. Lot of self-study needed to crack them. The lecture videos could have been a bit more interesting.

por Ashish B

Jul 03, 2020

The assignments were very interesting and the teaching also was very good. The main help was the provision of notes in the jupyter notebook

por Sven E

Nov 16, 2019

assignments quite challenging , way more time needed than the est. times given by coursera. happy I could finish it. on to the next course !

por Marc

Dec 08, 2017

Curso interesante para iniciarse en la librería pandas. A veces vas algo perdido pero dedicandole esfuerzo y atención aprendes muchas cosas.

por Jason R

Oct 16, 2017

Could have been more challenging and worked with more interested bigger datasets but was a great way to get up to speed on pandas abilities.

por Paula C R

Jun 20, 2017

The course is really nice, hands-on all the time. Some questions of the assignments could be improved to avoid ambiguity/subjectivity tough.

por Ishank T

May 31, 2020

Not beginner friendly, great assignments which require "stackoverflow" skill. you actually learn from assignment. Videos are not that great

por Dominic l H

Mar 05, 2018

good course overall but there needs to be more information on code profiling/optimizing it is really required to pass a part of question 4.

por luciano d f a

Jan 27, 2018

A good introduction to Pythonic data science programming tools. Just bit too fast in exposition for my learning curve. However I liked it.

por Juntao G

Nov 17, 2017

Mostly good. However the question quality of homework 4 should be improved. The way how questions are expressed is ambiguous and confusing.