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Avis et commentaires pour l'étudiant pour Python Data Analysis par Université de Rice

4.7
344 notes
59 avis

À propos du cours

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....

Meilleurs avis

DP

Jul 07, 2018

The instructors use very clear language and explains in a details level that is possible to everyone that has a minimum of computing science knowledge to learn Python.

J

Jan 30, 2019

Important concepts covered - including dictionaries and data structures. Useful in developing a basic foundation and understanding of Python.

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26 - 50 sur 58 Examens pour Python Data Analysis

par Shan G

Jul 14, 2018

The Mentor is very helpful

par EDILSON S S O J

Jan 07, 2018

Very nice course!

par Sangil Y

Jun 15, 2018

good !

par Frank S

Dec 12, 2017

Challenging Assignments and excellent instructors. Great course.

par JOON T C

Jan 24, 2018

good!

par Yue Z

Jun 26, 2018

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

par Tristan D H

Jun 08, 2018

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

par Peter D

Dec 27, 2017

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

Highly recommended.

par Hao-Wen S

Jan 01, 2018

Excellent! I previously completed the Fundamentals of Computing Specialization from the same instructors, yet there was ample new content in this course. This course focuses on techniques for dealing with tabular data, which are represented as nested arrays (list of lists, dictionary of dictionaries, list of dictionaries) using map, filter, lambda, list / dictionary comprehensions and the csv module for loading and saving csv files. The final project is rewarding, requiring relatively little code but a clear understanding of the underlying data structures.

Compared to the Fundamentals of Computing specialization (which later moves towards developing efficient algorithms), the series so far seems to be geared towards developing practical skills for applying Python for data science. Very rewarding.

par JIN W

Jan 25, 2018

good course

par Yi-Hsuan L

Mar 05, 2018

Super useful!

par Chujie C

Jul 05, 2018

Finished on 03/11/2018

par ADYA S

Mar 03, 2018

Very good course. Thorough and detailed explanation of all concepts. Course takes you smoothly from beginner level to the very end. Amazing how much can be learned in this course. The learning curve is gradual so make sure you follow instructions and complete all the practice assignments in order. Definitely worth the time.

par Li B

Feb 08, 2018

Great practice materials!

par David P

Jul 07, 2018

The instructors use very clear language and explains in a details level that is possible to everyone that has a minimum of computing science knowledge to learn Python.

par Charles H

May 26, 2019

Excellent Course!

par KEYU X

Jun 16, 2019

This is a very good course. You will feel very satisfying when you complete the final project. Maybe the only thing I want to complain about is that the statement and signature of the project are not so clear and a little bit confusing. It takes me some time to figure out the requirement.

par Aleksandar A F

Oct 25, 2019

was really tough!

par Manuel F

Oct 29, 2019

Excellent course

par VIKRAM S

Nov 02, 2019

Great Course !

Specially the project at the end uses some really powerful code, combining all that we had learnt throughout the course

par Jimena M M

Nov 03, 2019

Great course as all their courses they have given!

par jingyao z

Oct 18, 2019

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

par Jacob G

Jan 15, 2019

Instructions on the final were not as clear as the rest of the course, but the information given is worthwhile

par Akshay K J

Aug 06, 2018

For foundation part to data analysis and concerning about it help me in the basic understanding.

Though with the pandas library make it simple that is some sort of drawback I find.

But it make my concept clear.

Thanks for the python Data Analysis course by Rice university.

par Peter

May 11, 2019

A tough course (not for the fainted of heart). I love baseball and the application of the baseball data is useful for me !