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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
estrellas
22,474 calificaciones
5,036 reseña

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 reseñas

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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3876 - 3900 de 4,962 revisiones para Introduction to Data Science in Python

por Aliyu A

Sep 12, 2017

A very good course. recommended for a intermediate data scientists

por aaron_lang

Jul 28, 2017

Overall, the course is pretty good in terms of practice questions.

por Elana A

Mar 22, 2017

Great course and valuable information, but frustrating autograder.

por Sangram K S

Jul 13, 2020

It was good. The session can be more interactive and interesting.

por Gian C T G

Jun 25, 2020

Need more excersices examples, some homeworks are quite difficult

por Subha M

May 31, 2020

The course was good. But few points were not that up to the mark.

por Anil K C

May 06, 2020

Good assignments to get you to learn the Pandas library in python

por Sadia a S

Mar 21, 2020

It is a helpful course for working with python for data analysis.

por Roy Y

Jul 17, 2019

A great introduction. But assignment grading a little bit tricky.

por hadeer a

Jul 15, 2018

The course was helpful, but the assignments weren't clear at all.

por Ahmed E B

Jan 27, 2018

It is a challenging course specially for beginners and assignment

por DHRUBASATTWATA R C

Aug 17, 2017

A very detailed course. A must do for Data Science enthusiasts...

por MINGYANG Z

Jul 16, 2020

The instruction of the homework is sometimes hard to understand.

por Julian L

Jun 16, 2020

It would be much better if all the videos had Spanish subtitles.

por sourav g

May 21, 2020

If you could also provide written material, that would be great.

por Bharath k M

Dec 08, 2019

Good Experience and learning. Overall gained a good confidence!!

por Andrew T

May 25, 2017

There were some gaps that were tough to bridge, but I got there.

por Fan Z

Sep 19, 2020

The course is good in general but the grading system is a pain.

por Daniel

Jul 01, 2020

Falto poner o darle incapie más a fondo a la libreria de pandas

por Natalia d p R C

Apr 20, 2020

bastante bueno aunque mucho tema fue buscado independientemente

por Shunjiang X

Jul 08, 2018

Very vigorous course. A little hard but will learn quite a bit.

por Filip J

Sep 01, 2020

It was great but I lack suggested solutions after assignments.

por Igor A G Q

Jul 06, 2020

great course. I would add more classes about the distributions

por Ujjwal S

May 19, 2020

Great explained and top level content to learn the skills from

por S S

Sep 06, 2019

Assignment 2 was way too tough, as per the concepts covered :(