Programa de cursos integrados Python para todos

Inicia em Abr 03

Programa de cursos integrados Python para todos

Learn to Program and Analyze Data with Python

Develop programs to gather, clean, analyze, and visualize data.

Sobre esse Programa de cursos integrados

This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.

Desenvolvido por:

courses
5 courses

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Projetos

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Certificados

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Cursos
Beginner Specialization.
No prior experience required.
  1. CURSO 1

    Programming for Everybody (Getting Started with Python)

    Próxima sessão: Abr 3 — Mai 29.
    Compromisso
    2-4 horas/semana
    Legendas
    English, Chinese (Simplified)

    Sobre o curso

    This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Informatics”. This course is equivalent to the first half of the 11-week "Programming for Everybody (Python)" course. Once a student completes this course, they will be ready to take more advanced programming courses.
  2. CURSO 2

    Estruturas de Dados em Python

    Próxima sessão: Abr 3 — Mai 29.
    Compromisso
    2-4 horas/semana
    Legendas
    English, Chinese (Simplified)

    Sobre o curso

    This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Informatics”. This course is equivalent to the second half of the 11-week "Programming for Everybody (Python)" course. This course covers Python 2.
  3. CURSO 3

    Usando o Python para acessar dados naweb

    Próxima sessão: Abr 3 — Mai 22.
    Compromisso
    6 weeks of study, 2-4 hours/week
    Legendas
    English

    Sobre o curso

    This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Informatics”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files.
  4. CURSO 4

    Usando banco de dados com Python

    Próxima sessão: Abr 3 — Mai 15.
    Compromisso
    5 semanas de estudo,2-3 horas/semanas
    Legendas
    English

    Sobre o curso

    Este curso irá apresentar aos alunos os conceitos básicos do Structured Query Language (SQL), bem como projeto básico do banco de dados para armazenar dados como parte de coleta, análise e esforço de processamento de dados em várias etapas. O curso vai usar SQLite3 como banco de dados. Nós também vamos construir web crawlers, coleta e processos de visualização desses dados. Vamos usar a biblioteca D3.js para fazer a visualização de dados. Este curso irá cobrir os capítulos 14-15 do livro "Python for Informatics". Para ter sucesso neste curso, você deve estar familiarizado com o material coberto nos capítulos 1-13 do livro e os três primeiros cursos nesta especialização.
  5. CURSO 5

    Capstone: Retrieving, Processing, and Visualizing Data with Python

    Próxima sessão: Abr 3 — Mai 29.
    Compromisso
    6 weeks of study, 2-4 hours/week
    Legendas
    English

    Sobre o Trabalho de Conclusão

    In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find. Chapter 15 from the book “Python for Informatics” will serve as the backbone for the capstone. This course covers Python 2.

Desenvolvedores

  • Universidade de Michigan

    The University of Michigan is recognized as a leader in higher education due to the outstanding quality of its 19 schools and colleges, internationally recognized faculty, and departments with 250 degree programs.

    The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

  • Charles Severance

    Charles Severance

    Associate Professor

FAQs

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