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Brandon Krakowsky

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.

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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.

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What's inside

Four courses

Introduction to Python Programming

(0 hours)
This course introduces programming and Python. Students learn core concepts like data structures, conditionals, loops, variables, and functions. It includes an overview of Python tools 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.

Data Analysis Using Python

(0 hours)
This course provides an introduction to basic data science techniques using Python. Students will learn core concepts like Data Frames and joining data, and 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.

Introduction to Java and Object-Oriented Programming

(0 hours)
This course introduces Java and object-oriented programming, covering Java syntax, custom Java classes and methods, unit testing, and test-driven development. It also includes basic data structures like Arrays and ArrayLists and method overloading.

Inheritance and Data Structures in Java

(0 hours)
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 leverage complex data structures like collections and maps.

Learning objectives

  • 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

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