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.
À propos de ce cours
Université de Rice
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 stars16,18 %
- 3 stars5,15 %
- 2 stars1,19 %
- 1 star0,83 %
Meilleurs avis pour PYTHON DATA ANALYSIS
This course is good and the instructors way of teaching is quite attractive and interactive. I have learnt a lot during this course.
more so a data management and cleaning course rather than an actual analysis course. Was expecting more statistical analysis computation
Excellent Lecture + good support from mentors (Patrick, the only one?). However, the final project's description is quite obscure, I have to rely heavily on owl-test.
A tough course (not for the fainted of heart). I love baseball and the application of the baseball data is useful for me !
À propos du Spécialisation Introduction to Scripting in Python
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.
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