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.
Acerca de este Curso
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 stars76,62 %
- 4 stars16,17 %
- 3 stars5,19 %
- 2 stars1,18 %
- 1 star0,82 %
Principales reseñas sobre PYTHON DATA ANALYSIS
This course requires a lot of practice to be able to solve the project. Overall, i feel the practice was a bit less and the final project required a steep learning curve
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.
Great Course !
Specially the project at the end uses some really powerful code, combining all that we had learnt throughout the course
Great programming practice, especially the project for week4. I am more comfortable with lambda now. I am much more helpful to my son in Python classes.
Acerca de Programa especializado: 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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