Chevron Left
Вернуться к Introduction to Data Science in Python

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

Оценки: 24,316
Рецензии: 5,447

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:

4476–4500 из 5,380 отзывов о курсе Introduction to Data Science in Python

автор: Abdul R

28 дек. 2017 г.

Assignments are little tough :)

автор: Azure

25 нояб. 2017 г.

too difficult for first learner

автор: VP P

6 июня 2021 г.

fast pace - tough to catch up

автор: Anik S

18 февр. 2021 г.

Overall an informative course.

автор: Ilina D

22 сент. 2020 г.

not enough practical exercises

автор: Shaniya

27 июня 2020 г.

i loved it... very informative

автор: José D A M

22 мая 2020 г.

Too fast, not enough examples.

автор: JayanthKumar K

1 мая 2020 г.

I earned a lot in this course.

автор: INAM U H

17 апр. 2020 г.

It was a wonderful experience.

автор: Janid A

27 мая 2019 г.

Nice and easy to follow course

автор: Michael T

25 янв. 2019 г.

Grader platform could be beter

автор: alightcap

6 февр. 2018 г.

Learning curve is quite steep.

автор: Dhrumil P

21 июля 2020 г.

Good enough for introduction.

автор: Soumya R C

28 мая 2020 г.

A good courser for beginners.

автор: Rajat J

24 сент. 2019 г.

Content Was less at the last.

автор: Shayan A K

15 сент. 2019 г.

Too much independent learning

автор: vikas p

10 мар. 2019 г.

it is very good for beginners

автор: Damir D

6 янв. 2019 г.

Exercises are not very clear.

автор: Gregory N

16 мая 2017 г.

Fantastic way to learn pandas

автор: Benjamín V A

3 янв. 2021 г.

tough but fun, very hands on

автор: Gourang k

11 окт. 2020 г.

Good for a beginner like me.

автор: Rachit G

18 июля 2020 г.

The assignments are bit hard

автор: Purva G

28 июня 2020 г.

Correct the subtitles please

автор: Preethi

8 июня 2020 г.

it is very useful and clear.

автор: Dharmendra C

4 июля 2018 г.

christopher brooks is great.