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.
Об этом курсе
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
- 5 stars76,61 %
- 4 stars16,10 %
- 3 stars5,25 %
- 2 stars1,19 %
- 1 star0,83 %
Лучшие отзывы о курсе PYTHON DATA ANALYSIS
Overall, this is a great course, However, used baseball as the theme of the final project is really not a good idea!
Excellent course that covers a good balance of Python fundamentals and problem solving skills.
This is a really really good course to get hands on how to access data from the csv files and work with it. I liked it a lot.
Great class. It might not be perfect for beginners, but good for someone who has had one semester in Python programming. Thank you, everyone!
Специализация Introduction to Scripting in Python: общие сведения
Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
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