Chevron Left
Вернуться к Introduction to Data Science in Python

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

4.5
звезд
Оценки: 24,685
Рецензии: 5,538

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

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

SI
15 мар. 2018 г.

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 .

Фильтр по:

4401–4425 из 5,483 отзывов о курсе Introduction to Data Science in Python

автор: Nikhil J

17 июля 2020 г.

one of the best course to get started with data science.

автор: Christopher O

10 июня 2020 г.

It was quite great with plenty of datasets to play with.

автор: Shikhar S

2 сент. 2019 г.

Quite good, i wished they included more pandas functions

автор: Thiébaut L

15 мая 2018 г.

A good start to learn about data management with python.

автор: Chuying Z

24 дек. 2017 г.

A great course to experience data science through Python

автор: Amrita A

10 окт. 2017 г.

Fast paced course but still useful if you are getting yo

автор: Jinbin F

7 мая 2017 г.

It is a good course, but a little difficult for a newer.

автор: Santiago E F T

10 апр. 2021 г.

The task are really hard even for a intermediate level

автор: Sneh P

26 сент. 2020 г.

This course is best but lectures are little bit faster.

автор: PRIYANSHU C

19 мая 2020 г.

some assignment questions are too hard but informative.

автор: Paarth B

23 апр. 2020 г.

the pace and speed of teaching is fast according to me.

автор: Marco Z

11 февр. 2020 г.

The final tests are problematic in the evaluating phase

автор: Saransh G

1 авг. 2019 г.

Assignments are too complex for beginners to understand

автор: shaif t

28 мая 2017 г.

Course was good , i wish number of exercises were more.

автор: Nicolas M

8 февр. 2017 г.

Assignment time estimations were way off in my opinion.

автор: Joaquin S H

6 февр. 2017 г.

Was good but the support in the forums could be better.

автор: Prahlad S

3 февр. 2021 г.

excellent course and hands on learning and assignments

автор: Nishal

13 нояб. 2019 г.

Good intro to using pandas and going through datasets!

автор: Chris R

25 авг. 2018 г.

Great delivery and assignments inline with curriculum.

автор: Kay F

11 февр. 2018 г.

assignments and week books were not that good aligned.

автор: Sai G S

17 июня 2020 г.

Good Course for a beginner, but needs lot of patience

автор: Patrick

30 нояб. 2016 г.

assignment is really hard, takes me 30 hours at least

автор: Anusha P

17 сент. 2020 г.

Very Good course for those who wants to learn Pandas

автор: Divya s

1 июня 2020 г.

it was a good course overall for a beginner like me!

автор: Mohammed E A M

8 мар. 2020 г.

Many times I found it hard to understand the problem