Boost Your Computer Programming Skills. With minimal previous exposure, learn two popular programming languages at an accelerated pace.

4.1

estrellas

183 calificaciones

Brandon Krakowsky

5,119 ya inscrito

ofrecido por

Parte del título Master of Computer and Information Technology

Más información

Programa especializado: Introduction to Programming with Python and JavaUniversidad de Pensilvania

Qué aprenderás

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 obtendrás

Programming PrinciplesPython ProgrammingJava ProgrammingData StructureComputer ProgrammingPython ToolsPython Syntax And SemanticsData SciencePython LibrariesData AnalysisData Visualization (DataViz)Java Tools

Acerca de este Programa Especializado

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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.

Proyecto de aprendizaje aplicado

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.

Certificado para compartir

Obtén un certificado al finalizar

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Cronograma flexible

Establece y mantén fechas de entrega flexibles.

Nivel principiante

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 completarse

Ritmo sugerido de 6 horas/semana

Inglés (English)

Subtítulos: Inglés (English)

Certificado para compartir

Obtén un certificado al finalizar

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Cronograma flexible

Establece y mantén fechas de entrega flexibles.

Nivel principiante

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 completarse

Ritmo sugerido de 6 horas/semana

Inglés (English)

Subtítulos: Inglés (English)

Cómo funciona el programa especializado

Toma cursos

Un programa especializado de Coursera es un conjunto de cursos que te ayudan a dominar una aptitud. Para comenzar, inscríbete en el programa especializado directamente o échale un vistazo a sus cursos y elige uno con el que te gustaría comenzar. Al suscribirte a un curso que forme parte de un programa especializado, quedarás suscrito de manera automática al programa especializado completo. Puedes completar solo un curso: puedes pausar tu aprendizaje o cancelar tu suscripción en cualquier momento. Visita el panel principal del estudiante para realizar un seguimiento de tus inscripciones a cursos y tu progreso.

Proyecto práctico

Cada programa especializado incluye un proyecto práctico. Necesitarás completar correctamente el proyecto para completar el programa especializado y obtener tu certificado. Si el programa especializado incluye un curso separado para el proyecto práctico, necesitarás completar cada uno de los otros cursos antes de poder comenzarlo.

Obtén un certificado

Cuando completes todos los cursos y el proyecto práctico, obtendrás un Certificado que puedes compartir con posibles empleadores y tu red profesional.

Hay 4 cursos en este Programa Especializado

Curso1

Curso 1

Introduction to Python Programming

4.0

estrellas

134 calificaciones

•

52 reseña

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.

Curso2

Curso 2

Data Analysis Using Python

4.5

estrellas

50 calificaciones

•

19 reseña

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.

Curso3

Curso 3

Introduction to Java and Object-Oriented Programming

4.0

estrellas

27 calificaciones

•

13 reseña

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.

Curso4

Curso 4

Inheritance and Data Structures in Java

4.2

estrellas

12 calificaciones

•

8 reseña

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.

Instructor

Brandon Krakowsky

Lecturer

School of Engineering and Applied Science

12,457 alumnos

6 cursos

ofrecido por

Universidad de Pensilvania

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.

Comienza a trabajar para obtener tu maestría

Este programa especializado es parte del Master of Computer and Information Technology completamente en línea de Universidad de Pensilvania. Si te aceptan en el programa completo, tus cursos cuentan para tu título.

Más información

Preguntas Frecuentes

¿Recibiré crédito universitario por completar el programa especializado?
Esta Especialización no otorga crédito universitario, pero algunas universidades pueden aceptar los Certificados de especializaciones para obtener crédito. Consulta con tu institución para obtener más información. Los Títulos en línea y los Certificados Mastertrack™ de Coursera brindan la oportunidad de obtener créditos universitarios.
Can I just enroll in a single course?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.
¿Puedo inscribirme en un solo curso?
¡Sí! Para empezar, haz clic en la tarjeta del curso que te interesa e inscríbete. Puedes inscribirte y completar el curso para obtener un certificado que puedes compartir o puedes acceder al curso como oyente para ver los materiales del curso de manera gratuita. Cuando cancelas la suscripción de un curso que forma parte de un programa especializado, se cancela automáticamente la suscripción de todo el programa especializado. Visita el panel del estudiante para realizar un seguimiento de tu progreso.
Can I take the course for free?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el enlace de Ayuda económica que está debajo del botón “Inscribirse” a la izquierda. Se te pedirá que completes una solicitud. Recibirás una notificación en caso de que se apruebe. Deberás completar este paso para cada uno de los cursos que forman parte del Programa especializado, incluido el proyecto final. Obtén más información.
¿Puedo tomar este curso de manera gratuita?
Cuando te inscribes en el curso, tienes acceso a todos los cursos del programa especializado y obtienes un certificado cuando completas el trabajo. Si solo deseas leer y ver el contenido del curso, puedes participar del curso como oyente de manera gratuita. Si no puedes pagar la tarifa, puedes solicitar ayuda económica.
¿Este curso es 100 % en línea? ¿Necesito asistir a alguna clase en persona?
Este curso es completamente en línea, de modo que no necesitas ir a un aula en persona. Puedes acceder a tus lecciones, lecturas y tareas en cualquier momento y cualquier lugar a través de Internet o tu dispositivo móvil.
Do I need to know how to program or have studied computer science in order to take this Specialization?
No, but the concepts move very quickly so it is helpful to have some introductory exposure (such as Penn’s Computational Thinking for Problem Solving). This Specialization is intended for anyone who has an interest in problem solving and wants to learn Python or Java.
What will I be able to do upon completing this Specialization?
Learners who complete this series of four courses will be able to write fully-functional programs in Python, applying core programming principles, file I/O, and data analysis and visualization. Learners will also be able to write fully-functional Java programs, applying principles of object-oriented programming, data structures, file I/O, unit testing, and code debugging.
How much math do I need to know to take this Specialization?
The only math that learners will need for this Specialization is arithmetic and basic concepts in logic.
Does this Specialization prepare me for the Master of Computer and Information Technology (MCIT) degree program at the University of Pennsylvania?
This Specialization gives learners exposure to material that they will encounter in the University of Pennsylvania’s MCIT Online degree. The Specialization certificate will be viewed favorably by the admissions committee, so be sure to mention it when you apply!
If you have a bachelor's degree and are interested in learning more about the fundamentals of computer science, we encourage you to apply to MCIT on-campus or MCIT Online. Please mention that you have completed this Speciialization in the application.
Where can I find more information about the Master of Computer and Information Technology (MCIT) degree program at the University of Pennsylvania?
Visit these links to learn more
MCIT Online: https://onlinelearning.seas.upenn.edu/mcit/
MCIT On-campus: http://www.cis.upenn.edu/prospective-students/graduate/mcit.php
Will I earn university credit for completing the Specialization?
No, this Specialization does not confer any university credit. However, this Specialization gives learners exposure to material in MCIT Online, a fully accredited degree from the University of Pennsylvania. The Specialization certificate will be viewed favorably by the MCIT Online admissions committee so be sure to mention it when you apply!

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