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Вернуться к Python Data Analysis

Отзывы учащихся о курсе Python Data Analysis от партнера Университет Райса

Оценки: 714
Рецензии: 118

О курсе

This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer....

Лучшие рецензии

15 мая 2020 г.

One of the best course in this specialization. It was really interesting work with some real world data which could really enhance the problem solving skills.

6 авг. 2020 г.

One of the best courses on data analysis in python. It was a deep dive into the basics. More than the course videos, i enjoyed the assignments more.

Фильтр по:

26–50 из 117 отзывов о курсе Python Data Analysis

автор: P.Sai m r

19 мая 2020 г.

This course was very helpful and learnt a lot about data and Writing and reading of CSV files and analyzing data .

автор: Peter D

27 дек. 2017 г.

Excellent course that covers a good balance of Python fundamentals and problem solving skills.

Highly recommended.

автор: Arunangshu B

31 авг. 2020 г.

Very nice experience. It's a nice way for getting a good hold of python dictionaries

автор: jingyao z

18 окт. 2019 г.

great mentor! excellent course, lead students to write a whole project step by step

автор: Dattprasad K

30 авг. 2020 г.

It taught me very practical ways that are helpful in dealing with day to day data

автор: Sujan C M

28 сент. 2020 г.

The projects in this course are toilsome and I like this feature of this course.

автор: Zhuoyu C

26 нояб. 2019 г.

Good course. But for csv nowadays everyone use pandas. Should update the course.

автор: Jose D

6 авг. 2018 г.

De mucha utilidad, permite ver la gran variedad de funciones que dispone Python.

автор: Tristan D H

7 июня 2018 г.

A challenging, but well constructed sequel to the rest of the sequence.

автор: Arjit Y

27 июля 2018 г.

Great teachers I must say!

Learned many new things and cool teachers!

автор: Yue Z

26 июня 2018 г.

Good course! I am a beginner and I learned a lot through this course.

автор: Frank S

12 дек. 2017 г.

Challenging Assignments and excellent instructors. Great course.

автор: Tahir I

16 апр. 2020 г.

This course increase my abilities in python and data analysis

автор: Rodrigo B M

18 февр. 2019 г.

Excellent course! Great material, challenging exercises.

автор: Jimena M M

3 нояб. 2019 г.

Great course as all their courses they have given!

автор: 林晉宇

10 янв. 2019 г.

Very good course, instructor presented it well.

автор: Moazam A

13 июля 2020 г.

Best Course for Beginner data science Students

автор: Jingxiong L

13 сент. 2018 г.

Really good lecturing and real stuff learned!

автор: Arvydas K

18 июля 2018 г.

This was more challenging then previous two

автор: Sebastian R S

19 февр. 2019 г.

Awesome course. Challenging final project.

автор: alec v

21 сент. 2020 г.

Excelente curso, muy ameno e instructivo.

автор: Eduardo A C C

8 июля 2020 г.

Muy buen curso con excelentes ejercicios!

автор: Shet R P

22 мая 2020 г.

Nice Course. Learned so many new concepts

автор: vivek

15 янв. 2019 г.

Course was excellent . Loved learning it

автор: Akinribide O J

18 авг. 2020 г.

Very interesting willing to learn more