- Programming Principles
- Python Programming
- Java Programming
- Data Structure
- Computer Programming
- Python Tools
- Python Syntax And Semantics
- Data Science
- Python Libraries
- Data Analysis
- Data Visualization (DataViz)
- Java Tools
Programa de cursos integrados Introduction to Programming with Python and Java
Boost Your Computer Programming Skills. With minimal previous exposure, learn two popular programming languages at an accelerated pace.
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Programa de cursos integrados Introduction to Programming with Python and JavaUniversidade da PensilvâniaO que você vai aprender
Describe core Python programming concepts, including how to configure tools for Python code and write fully functional programs using data structures
Examine core data science techniques and concepts using Python, including using data analysis libraries and developing data visualization skills
Apply core principles of object-oriented programming and Java to write fully functional programs using classes and methods, and perform unit testing
Understand Java inheritance and apply techniques for parsing text in files, using advanced data structures to store information, and debugging code
Habilidades que você terá
Sobre este Programa de cursos integrados
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This Specialization starts out by teaching basic concepts in Python and ramps up to more complex subjects such as object-oriented programming and data structures in Java. By the time learners complete this series of four courses, they will be able to write fully-functional programs in both Python and Java, two of the most well-known and frequently used programming languages in the world today.
Introduction to Programming with Python and Java is for students and professionals who have minimal or no prior programming exposure. It’s for motivated learners who have experience with rigorous coursework, and are looking to gain a competitive edge in advancing their career. It’s for folks who are thinking about applying to the University of Pennsylvania’s online Master of Computer and Information Technology degree and want to sample some of the lecture videos and content from the first course in the program. We hope this Specialization is for you.
Topics in this Specialization include language syntax, style, programming techniques, and coding conventions. Learn about best practices and good code design, code testing and test-driven development, code debugging, code and program documentation, and computational thinking.
Projeto de Aprendizagem Aplicada
Learners will write fully-functional Python programs, including an implementation of an online banking system and a data analysis project analyzing movies and ratings from IMDB. Learners will apply Python programming, file I/O, data analysis and visualization, using both PyCharm and Jupyter Notebook.
Learners will also write fully-functional Java programs, including a text file parser that reads, writes, and analyzes text files. Learners will apply Java programming, object-oriented principles, data structures, file I/O, unit testing, code debugging, using Eclipse.
Certificados compartilháveis
Tenha o certificado após a conclusão
Cursos 100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Cronograma flexível
Definição e manutenção de prazos flexíveis.
Nível iniciante
High school or college math.
Minimal prior programming exposure may be helpful but not needed (e.g. Computational Thinking for Problem Solving).
Aproximadamente 4 meses para ser concluído
Ritmo sugerido de 6 horas/semana
Inglês
Legendas: Inglês, Coreano
Certificados compartilháveis
Tenha o certificado após a conclusão
Cursos 100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Cronograma flexível
Definição e manutenção de prazos flexíveis.
Nível iniciante
High school or college math.
Minimal prior programming exposure may be helpful but not needed (e.g. Computational Thinking for Problem Solving).
Aproximadamente 4 meses para ser concluído
Ritmo sugerido de 6 horas/semana
Inglês
Legendas: Inglês, Coreano
Como funciona o programa de cursos integrados
Fazer cursos
Um programa de cursos integrados do Coursera é uma série de cursos para ajudá-lo a dominar uma habilidade. Primeiramente, inscreva-se no programa de cursos integrados diretamente, ou avalie a lista de cursos e escolha por qual você gostaria de começar. Ao se inscrever em um curso que faz parte de um programa de cursos integrados, você é automaticamente inscrito em todo o programa de cursos integrados. É possível concluir apenas um curso — você pode pausar a sua aprendizagem ou cancelar a sua assinatura a qualquer momento. Visite o seu painel de aprendiz para controlar suas inscrições em cursos e progresso.
Projeto prático
Todos os programas de cursos integrados incluem um projeto prático. Você precisará completar com êxito o(s) projeto(s) para concluir o programa de cursos integrados e obter o seu certificado. Se o programa de cursos integrados incluir um curso separado para o projeto prático, você precisará completar todos os outros cursos antes de iniciá-lo.
Obtenha um certificado
Ao concluir todos os cursos e completar o projeto prático, você obterá um certificado que pode ser compartilhado com potenciais empregadores e com sua rede profissional.
Este Programa de cursos integrados contém 4 cursos
Introduction to Python Programming
373 classificações
This course provides an introduction to programming and the Python language. Students are introduced to core programming concepts like data structures, conditionals, loops, variables, and functions. This course includes an overview of the various tools available for writing and running Python, and gets students coding quickly. It also provides hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files. This course may be more robust than some other introductory python courses, as it delves deeper into certain essential programming topics.
Data Analysis Using Python
145 classificações
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization.
Introduction to Java and Object-Oriented Programming
85 classificações
This course provides an introduction to the Java language and object-oriented programming, including an overview of Java syntax and how it differs from a language like Python. Students will learn how to write custom Java classes and methods, and how to test their code using unit testing and test-driven development. Topics include basic data structures like Arrays and ArrayLists and overloading methods.
Inheritance and Data Structures in Java
33 classificações
This course provides a comprehensive look at Java inheritance, including access modifiers and overriding methods. Students are introduced to abstract classes, and will learn how to read and write to files, use regular expressions for parsing text, and how to leverage complex data structures like collections and maps.
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Universidade da Pensilvânia
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
Comece a trabalhar rumo ao seu mestrado
Este Programa de cursos integrados é parte da graduação 100% on-line Master of Computer and Information Technology da Universidade da Pensilvânia.
Caso seja aceito para o programa completo, seus cursos contarão para sua graduação.
Perguntas Frequentes – FAQ
Qual é a política de reembolso?
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Do I need to take the courses in a specific order?
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What will I be able to do upon completing this Specialization?
How much math do I need to know to take this Specialization?
Does this Specialization prepare me for the Master of Computer and Information Technology (MCIT) degree program at the University of Pennsylvania?
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