Overview

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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.

Syllabus

Course 1: Introduction to Python Programming
- Offered by University of Pennsylvania. This course provides an introduction to programming and the Python language. Students are introduced ... Enroll for free.

Course 2: Data Analysis Using Python
- Offered by University of Pennsylvania. This course provides an introduction to basic data science techniques using Python. Students are ... Enroll for free.

Course 3: Introduction to Java and Object-Oriented Programming
- Offered by University of Pennsylvania. This course provides an introduction to the Java language and object-oriented programming, including ... Enroll for free.

Course 4: Inheritance and Data Structures in Java
- Offered by University of Pennsylvania. This course provides a comprehensive look at Java inheritance, including access modifiers and ... Enroll for free.

Courses

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3 weeks long, 19 hours worth of material
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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.
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4 weeks long, 28 hours worth of material
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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.
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4 weeks long, 21 hours worth of material
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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.

Additionally, this course offers strategies for catching errors and debugging code, including an overview of Eclipse’s debugging tool.
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3 weeks long, 17 hours worth of material
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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.