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

17,578 calificaciones
3,993 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


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


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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3226 - 3250 de 3,940 revisiones para Introduction to Data Science in Python

por Jaap d K

Mar 23, 2018

Nice introduction. Learned a lot about Pandas.

por Takayuki S

Mar 13, 2018

It took a while to complete, but was worth it!

por Islombek A

Oct 02, 2019

Quite good, but mostly I need to learn on web

por Neha b

Jul 20, 2019

great course, very good learning opportunity.

por Soumya G

Apr 15, 2018

This course is not for new learners of Python

por Irena M

Mar 06, 2018

Lectures should be longer witjh more details.

por Soo H K

Jun 18, 2017

kind of tough to catch up with as a beginner.

por Adnan A

Dec 23, 2016

Course should be more interactive and details

por 郭雪舟

Sep 19, 2019

The assignments and project are very useful!

por Rich L

Sep 26, 2018

Great introduction but a bit vague at points

por Mitchell J

Apr 28, 2017

Good course to get you thinking about python

por Mary

Apr 22, 2017

Good course the assignments were challenging

por Sudipta R

May 24, 2020

It's a perfect course to beginning with ML.

por karim m s E

May 14, 2018

something amazing to explore the Data world


May 10, 2020

try to explain more in the course material

por Kokularaj B

Apr 19, 2020

It's more self-learning. can practice more

por Ehtisham S

Mar 11, 2020

write python code in easiest possible way.

por Willian R S

Aug 11, 2019

Poderia ter mais exercícios para praticar.


Oct 31, 2018

Assignments gives more practical knowledge

por ayush k

Jun 22, 2018

amazing course and great deal of knowledge


Mar 19, 2018

Too Tough for the assignments to complete

por Harshavardhan R

Nov 03, 2016

Great pace for intermediate level people.

por Santanu B

May 27, 2020

Explanations are too less in each module

por Bipin Y

Apr 16, 2020

The questions were harder than expected.

por Andreas H

Mar 29, 2020

Translation into german would be helpful