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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: 25,923

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


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.


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:

4676–4700 из 5,724 отзывов о курсе Introduction to Data Science in Python

автор: PREDEEP K

30 окт. 2018 г.

Assignments gives more practical knowledge

автор: ayush k

22 июня 2018 г.

amazing course and great deal of knowledge

автор: Siddakka S

9 янв. 2021 г.

I enjoyed the course and its very useful.

автор: Agamjot S R

10 июля 2020 г.

good course, helps in enhancing knowledge

автор: Ansita A P

6 июля 2020 г.

It was nice to learn from here, Thankyou.

автор: JAYDEEP B

19 мар. 2018 г.

Too Tough for the assignments to complete

автор: Harshavardhan R

3 нояб. 2016 г.

Great pace for intermediate level people.

автор: RAMYA D K T

27 сент. 2020 г.

Learnt a lot .It is useful for my career

автор: Santanu B

27 мая 2020 г.

Explanations are too less in each module

автор: Bipin Y

16 апр. 2020 г.

The questions were harder than expected.

автор: Andreas H

29 мар. 2020 г.

Translation into german would be helpful

автор: Mengjie

22 мар. 2020 г.

a little difficult for me,but gain a lot

автор: Dr. D S A

13 дек. 2019 г.

The Assignments are little bit difficult

автор: Chethan S L

27 мая 2019 г.

Course content is excellent and helpful.

автор: Zhong H

21 нояб. 2017 г.

Basic information about numpy and pandas

автор: Devashish N

12 февр. 2017 г.

Nice course for understanding the basics

автор: Sean M D C S

4 янв. 2021 г.

Very good course with great instructors


3 июля 2020 г.

Excellent course and somewhat difficult

автор: Daniel M

5 июня 2020 г.

Very strong base. Difficult assignments

автор: mrunal a

4 июня 2020 г.

amazing knowledge about numpy and panda

автор: Prince M K

25 мая 2020 г.

The pace was of the course was too fast

автор: Sanchita S

10 мая 2020 г.

For A beginner ,it was a great course !

автор: June L

9 мая 2019 г.

It is good but also very very difficult

автор: Howard Z

14 мар. 2019 г.

A lot of information but extremely hard

автор: Youri D

29 янв. 2017 г.

It was very hard but extremly learnful.