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.
Informações sobre o 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 stars76,59%
- 4 stars16,19%
- 3 stars5,20%
- 2 stars1,18%
- 1 star0,82%
Principais avaliações do PYTHON DATA ANALYSIS
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.
It's fantastic learning opportunity, well taught, covered almost everything.Baseball project is cherry on the cake.
more so a data management and cleaning course rather than an actual analysis course. Was expecting more statistical analysis computation
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.
Sobre Programa de cursos integrados 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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever nesta Especialização?
Existe algum auxílio financeiro disponível?
Mais dúvidas? Visite o Central de Ajuda ao estudante.