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Вернуться к Introduction to Data Science in Python

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

Оценки: 23,915
Рецензии: 5,368

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

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

9 дек. 2017 г.

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!

Фильтр по:

4176–4200 из 5,288 отзывов о курсе Introduction to Data Science in Python

автор: Naymur R

14 июля 2020 г.

The Course Syllabus was too much good and better lecture quality .

автор: Veeresh I

31 мар. 2020 г.

Good course to learn the basic concepts to start with Data Science

автор: Sean L

18 окт. 2019 г.

Learned a lot, but mostly by self-learning when doing assignments.

автор: Yufei H

14 мая 2019 г.

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

автор: Ashley R

20 нояб. 2018 г.

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

автор: Aliyu A

12 сент. 2017 г.

A very good course. recommended for a intermediate data scientists

автор: aaron_lang

27 июля 2017 г.

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

автор: Elana A

22 мар. 2017 г.

Great course and valuable information, but frustrating autograder.

автор: Sangram K S

13 июля 2020 г.

It was good. The session can be more interactive and interesting.

автор: Gian C T G

25 июня 2020 г.

Need more excersices examples, some homeworks are quite difficult

автор: Subha M

31 мая 2020 г.

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

автор: Anil K C

6 мая 2020 г.

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

автор: Sadia a S

21 мар. 2020 г.

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

автор: Roy Y

17 июля 2019 г.

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

автор: hadeer a

15 июля 2018 г.

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

автор: Ahmed E B

27 янв. 2018 г.

It is a challenging course specially for beginners and assignment

автор: Dhruba s R C

17 авг. 2017 г.

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

автор: Partha S

23 янв. 2021 г.

Its not an easy course and requires a lot of focus and attention


15 июля 2020 г.

The instruction of the homework is sometimes hard to understand.

автор: Julian L

16 июня 2020 г.

It would be much better if all the videos had Spanish subtitles.

автор: sourav g

21 мая 2020 г.

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

автор: Bharath k M

8 дек. 2019 г.

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

автор: Andrew T

25 мая 2017 г.

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

автор: Fan Z

19 сент. 2020 г.

The course is good in general but the grading system is a pain.

автор: Daniel

1 июля 2020 г.

Falto poner o darle incapie más a fondo a la libreria de pandas