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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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17,578 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

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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3126 - 3150 de 3,945 revisiones para Introduction to Data Science in Python

por Yufei H

May 14, 2019

Chapter 2 and 3 are good for me, the rest chapters are too simple.

por Ashley R

Nov 20, 2018

some questions were vague but i guess thats part of the real world

por Aliyu A

Sep 12, 2017

A very good course. recommended for a intermediate data scientists

por aaron_lang

Jul 28, 2017

Overall, the course is pretty good in terms of practice questions.

por Elana A

Mar 22, 2017

Great course and valuable information, but frustrating autograder.

por Subha M

May 31, 2020

The course was good. But few points were not that up to the mark.

por Anil K C

May 06, 2020

Good assignments to get you to learn the Pandas library in python

por Sadia a S

Mar 21, 2020

It is a helpful course for working with python for data analysis.

por Roy Y

Jul 17, 2019

A great introduction. But assignment grading a little bit tricky.

por hadeer a

Jul 15, 2018

The course was helpful, but the assignments weren't clear at all.

por Ahmed E B

Jan 27, 2018

It is a challenging course specially for beginners and assignment

por DHRUBASATTWATA R C

Aug 17, 2017

A very detailed course. A must do for Data Science enthusiasts...

por sourav g

May 21, 2020

If you could also provide written material, that would be great.

por Bharath k M

Dec 08, 2019

Good Experience and learning. Overall gained a good confidence!!

por Andrew T

May 25, 2017

There were some gaps that were tough to bridge, but I got there.

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 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 SHIVANG S

May 04, 2020

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