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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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21,909 calificaciones
4,911 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

AU

Dec 10, 2017

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

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3801 - 3825 de 4,842 revisiones para Introduction to Data Science in Python

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 :(

por Mark P

Jun 14, 2019

challenging but reading forums and stack overflow really helps

por Ongwenyi M W

Aug 05, 2018

It has been an awesome experience, I have learnt a great deal.

por Anudeep A

Jun 23, 2017

The course is properly structured and tutorials are very good

por Gaurav R J

Apr 19, 2017

The teach and assignment are not in line in difficulty levels.

por v v

Apr 01, 2017

hard assignments, lecture was not enough to cover assignments.

por Mohammed A A

Jun 20, 2020

Really good course. Just gotta dig up stuff on your own alot.

por Christopher J

Jun 19, 2020

Excellent course, though the interpreter needs to be updated.

por SHIVANG S

May 04, 2020

Very difficult for those who are new to this numpy or pandas

por Sahil S

Feb 02, 2020

satisfactory,

although last week lectures need to be improved.

por Kartik K

Aug 02, 2019

Bit difficult for one who is not from programming background.

por David B

Sep 16, 2018

Interesting exercise if you're willing to trawl StackOverflow

por PRAKASH S

May 02, 2020

There is a lot of scope for the improvment of vedio lessons.

por Nasir H

Jan 07, 2020

The content was high level and good. You should explain more

por Hannah

Sep 01, 2019

Good courses and exercices but difficult to submit sometimes

por Andreas B

Dec 27, 2018

Great course. Tasks being not precise is sometimes annoying.

por Snehasish S

May 12, 2018

Course videos should be more and in detail for each concept.

por Manuel T

Jan 08, 2018

Quizzes do not match videos. Anyway, great course all in all