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

22,794 calificaciones
5,109 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

9 de may. de 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

9 de dic. de 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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3876 - 3900 de 5,031 revisiones para Introduction to Data Science in Python

por Churamani P

30 de jul. de 2017

I think a little more explanation from the Professor would have been helpful

por Taewon M

25 de ene. de 2017

It's great course, but the assignments are so hard to data science beginner.

por Animesh K

18 de nov. de 2020

Good course. Assignments are challenging. Overall good introductory course.

por Alonso G L

19 de feb. de 2020

Great opportunity to learn pandas. Some previous experience is an advantage

por Anindita N

23 de sep. de 2018

good but Statistical analysis part should be more explanatory with examples

por Matthew W

8 de oct. de 2017

Contents are not hard but assignment need more practice and time to finish.

por Thibaut L

11 de jul. de 2017

interesting but could provide some mathematical background for further info

por Tarush B

14 de jun. de 2020

The focus was on self study and that was really a good learning experience

por Karan M

23 de jun. de 2019

Excellent course with lots to learn, but also loads of self learning to do

por Jesús P A

23 de feb. de 2017

Perfect to get hands on with python programming for data science purposes.

por Niraj K

22 de dic. de 2016

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

por yasmina D

17 de jul. de 2020

i wish we could have some practise assignements like in the other courses

por ANUJ K

21 de ene. de 2020

Coding environment should be improved. Assignments should be more guiding

por Anurag M

6 de ene. de 2020

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

por Bernardo J

15 de dic. de 2017

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

por Ng Y H

19 de nov. de 2017

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

por Kevin D

26 de jul. de 2017

Interesting course with pretty useful interactive programming assignments

por Karan K

1 de may. de 2020

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

por Daniel M

18 de nov. de 2019

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

por Dibyaranjan S

11 de oct. de 2019

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

por dhara a

20 de jul. de 2019

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

por Deleted A

6 de mar. de 2019

could have explained Hypothesis testing in better way with good examples

por AKI

30 de ene. de 2018

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

por Carolina F A

27 de oct. de 2017

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

por Mikhail

5 de abr. de 2017

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