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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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17,343 calificaciones
3,950 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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3151 - 3175 de 3,887 revisiones para Introduction to Data Science in Python

por Joaquin S H

Feb 06, 2017

Was good but the support in the forums could be better.

por Nishal

Nov 13, 2019

Good intro to using pandas and going through datasets!

por Chris R

Aug 26, 2018

Great delivery and assignments inline with curriculum.

por Kay F

Feb 11, 2018

assignments and week books were not that good aligned.

por Patrick

Nov 30, 2016

assignment is really hard, takes me 30 hours at least

por Divya s

Jun 01, 2020

it was a good course overall for a beginner like me!

por Mohammed E A M

Mar 08, 2020

Many times I found it hard to understand the problem

por Sam M

Sep 15, 2019

Great Intro course into both Data Science and Pandas

por Alfredo E d l T

Sep 22, 2018

A very course. Only little problems with autograder.

por Abhinav A

Sep 10, 2018

The pace of the course could have been a little low.

por Zhenhua w

Nov 06, 2017

Videos are a bit short without detailed explanation.

por Ujwal G

Mar 22, 2019

assignmentds are much harder than d course content.

por Dale S

Jun 19, 2017

Great way to learn about Pandas, Numpy and Jupyter!

por Deep C

Nov 29, 2019

This course is advance level but very informative.

por Ali A

Jan 24, 2019

Good for people with prior programming experience.

por Rishikesh K

Jul 04, 2017

The instructions for assignments need more clarity

por Aditya S

Oct 25, 2019

The assignments were quite tough and challenging.

por Anatoly D

Jul 07, 2019

Ok-ish video lectures, but very great excersises!

por Nandakumar P

Jan 26, 2019

Really very mush useful for all the data analyst.

por Alok S

Jul 06, 2018

Great content and explanations to novel concepts.

por luiz.cunha@axa-im.com

Mar 21, 2018

A very good course as introduction to Datascience

por Lionel C

Nov 28, 2017

Great for learning python basics for data science

por Waqar Z

Apr 07, 2017

This is the good course for learning data science

por Jayanth T

May 24, 2020

It is one of the best course of data science...!

por G c p

May 12, 2020

it good to understand assignment also very good.