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Отзывы учащихся о курсе Introduction to Data Science in Python от партнера Мичиганский университет

4.5
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Оценки: 24,856
Рецензии: 5,563

О курсе

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....

Лучшие рецензии

YY
28 сент. 2021 г.

This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.

PK
9 мая 2020 г.

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

Фильтр по:

3826–3850 из 5,507 отзывов о курсе Introduction to Data Science in Python

автор: Amit K s

15 мар. 2019 г.

a must to do course for anyone who is entering the world of data science although i faced a bit of difficulty in assignments ,the instruction in assignments should be more clear

автор: Nathan R

23 июля 2017 г.

A very good course. Excellent introduction to pandas, in particular. Auto-grader could be improved, but it is great to get instant results, rather than waiting for peer grading.

автор: Ke C

24 февр. 2020 г.

Enough programming has open answers, it will be helpful if there are some guided method to be provided after we finish each assignment to better increase our coding efficiency.

автор: Dylan

11 сент. 2019 г.

Very thorough course with good questions and interesting assignments. Be prepared to read through pandas documentation though, or perhaps that's just my go to as a developer :)

автор: Tejas S N

19 мар. 2017 г.

I feel the videos could have been more instructive.However, the level of assignments is incredible! I learnt a lot more from programming assignments of this course than videos.

автор: Jiaqi L

26 июля 2020 г.

I strongly suggest making the description for assignments clearer. For assignment 2 and 3, without help of discussion forum, maybe I am still stuck in the data pre-processing.

автор: Adarsh K

20 мая 2020 г.

I found this course slightly difficult since I was completely unaware of Pandas and NumPy, however, by putting slight effort and dedication, I was able to complete the course.

автор: Massimiliano M

5 мар. 2017 г.

Great Course,very practical. I would improve the examples and increase the number of exercise during the lectures instead of just fastly presenting the pandas functionalities.

автор: Nikhil G

10 июня 2020 г.

Assignments were very good and involved a lot of thinking. It made me go through the documentations of a lot of functions. But the videos could be better and more elaborated.

автор: Prashant S

14 апр. 2020 г.

The course content is very good and its well taught. I suggest to brief or explain the assignment questions after completing it, it will help to better understand the things.

автор: Syed T S

12 апр. 2020 г.

The course was very learning but the assignments were really difficult. Even though, I have a background in python, still it was very challenging to complete the assignments.

автор: Zona G

24 апр. 2018 г.

Challenging in a good way, but sometimes light on important details which makes it difficult to even go about finding your own info/solutions online as the course encourages.

автор: Yanliang Y

23 янв. 2017 г.

It was challenging yet fun to learn this course.

Last but not least, the http://stackoverflow.com is really helpful. I highly recommend it to anyone who want to learn Python.

автор: Jesús R S

26 мая 2017 г.

Some issues when validating the assignements automatically but the forums are very helpful. Overall great course to start learning python and the libraries pandas and numpy.

автор: André T R

1 мар. 2017 г.

The submission tasks are too time consuming. In the other hand,forces the student to search about answers by themselves and use the techniques taught on it's full extension.

автор: Wen H

20 нояб. 2016 г.

I like the course very much. It was fun to learn and to do the exercises. There were some rough edges in the assignments but I'm sure these will be straightened out in time.

автор: Bikash P

1 июня 2020 г.

The last 2 assignments were very tough. Out of the scope of this course.

But whatever the content was very nice and understanding & helped me a lot in boosting my knowledge.

автор: Juan J p

23 сент. 2020 г.

es muy rapido explicando los conceptos que muchas veces pueden ser muy densos sobre todo cuando no tienes demasiada experiencia con esto, pero es muy bueno. aprendi mucho.

автор: Alberto M

18 окт. 2019 г.

Muy buen curso. Sin embargo, hay bastantes problemas con el corrector automático que causan muchos quebraderos de cabeza innecesarios. Pero salvo eso, es muy recomendable.

автор: Pablo R B

25 сент. 2019 г.

A partir de la semana 1 faltan los subtitulos en español, que para alguna cosa más técnica pueden ayudar a comprender ciertos aspectos más complejos a los hispanohablantes

автор: Rahul V

6 июля 2019 г.

Video lectures are easy to understand, but assignments are pretty hard as per knowledge obtained in these lectures, but that is okay because there is no spoon feeding you.

автор: Luis V

11 дек. 2020 г.

Excelente curso abarca temas esenciales para la carrera de Ciencias de Datos, principios de Pandas y Numpy, así mismo los desafíos semanales te retan a cumplirlos al 100.

автор: Alexa

14 июля 2019 г.

to accomplish the assignment, far more knowledge than teacher had taught. actually it is not good for true beginner. I really need to ask others for biggggggggggggg help.

автор: SIEW M J

27 мая 2018 г.

Instructions should be clearer in the assignment page. Otherwise over-reliance on discussion forums may tend to steer some candidates away from completing the assignments

автор: Vinay P d L R

18 сент. 2017 г.

Doesn't explain alot of important variation of the sintax, and says some wrong stuff as well. These two problems actually happen quite rarely, though. Pretty good course!