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

17,044 calificaciones
3,890 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


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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3001 - 3025 de 3,832 revisiones para Introduction to Data Science in Python

por Niraj K

Dec 22, 2016

Great course, Gives good outline to navigate through the essential content

por Anuj K

Jan 21, 2020

Coding environment should be improved. Assignments should be more guiding

por Anurag M

Jan 06, 2020

Assignments are really good but the pace of teaching can be improved upon

por Bernardo J

Dec 15, 2017

The assignment materials in the 3rd and 4th week need a SERIOUS make-over

por Ng Y H

Nov 19, 2017

The lecture python examples could be closer to the homework requirements.

por Kevin D

Jul 26, 2017

Interesting course with pretty useful interactive programming assignments

por Karan K

May 01, 2020

It was great experience learning the basics of data science with python.

por Daniel M

Nov 18, 2019

Very clear and straight to the point, yet a bit advanced for a beginner.

por Dibyaranjan S

Oct 11, 2019

assignments are a bit tough, some of them are advanced than the teaching

por dhara a

Jul 20, 2019

it is really nice course which gives you complete basic of data analysis

por Deleted A

Mar 06, 2019

could have explained Hypothesis testing in better way with good examples

por AKI

Jan 30, 2018

great course!but some assignments lack of clear instruction or mistakes.

por Carolina F A

Oct 27, 2017

The course is pretty good. However, the tasks are no easy to understand.

por Mikhail

Apr 05, 2017

Sometimes need more words in tasks, so it can help understand it better.

por Aditi T

Apr 23, 2020

need to give more examples on specific topics for better understanding.

por QI S

Nov 25, 2018

learn a lot, but the questions are so tough, i uses much time to do it.

por Akshay M

Feb 09, 2017

Course is good. I learned a lot. But the pace of teaching is very fast.


May 09, 2020

This course was very useful, it helped me understand python in detail.

por Antoine W

Feb 16, 2020

Learned a lot, but you constantly have to fight against the autograder

por Rajib M

Oct 09, 2019

Course content is good but the explanations need to be more elaborate.

por Sushma R

Sep 24, 2019

Feel too difficult to finish the tasks as they are little complicated.

por hasan

Jul 24, 2019

Good Course but need to improve in conceptual explanations and visuals

por Carl W

Jan 15, 2019

I like the use of the Jupyter notebook. Don't have to wait for grades.

por Iván C S R

Oct 09, 2018

Good course to start understanding the usage of Pandas in Data Science

por Pragya A

Aug 06, 2018

good...but it could be more order to better explaination.