University of Pennsylvania
Introduction to Programming with Python and Java Specialization
University of Pennsylvania

Introduction to Programming with Python and Java Specialization

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

Brandon Krakowsky

Instructor: Brandon Krakowsky

Sponsored by EmployNV

55,980 already enrolled

Get in-depth knowledge of a subject
4.4

(1,276 reviews)

Beginner level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.4

(1,276 reviews)

Beginner level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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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Taught in English

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Specialization - 4 course series

Introduction to Python Programming

Course 128 hours4.5 (1,140 ratings)

What you'll learn

  • Identify core aspects of programming and features of the Python language

  • Understand and apply core programming concepts like data structures, conditionals, loops, variables, and functions

  • Use different tools for writing and running Python code

  • Design and write fully-functional Python programs using commonly used data structures, custom functions, and reading and writing to files

Skills you'll gain

Category: Python Programming
Category: Computer Programming
Category: Programming Principles
Category: Computer Programming Tools
Category: Critical Thinking
Category: Problem Solving
Category: Data Structures

Data Analysis Using Python

Course 217 hours4.5 (401 ratings)

What you'll learn

  • Apply basic data science techniques using Python

  • Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib

  • Demonstrate how to load, inspect, and query real-world data, and answer basic questions about that data

  • Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization

Skills you'll gain

Category: Data Analysis
Category: Python Programming
Category: Computer Programming
Category: Data Analysis Software
Category: Data Management
Category: Data Structures
Category: Programming Principles
Category: Data Visualization
Category: Problem Solving

Introduction to Java and Object-Oriented Programming

Course 319 hours4.4 (301 ratings)

What you'll learn

  • Identify core aspects of object-oriented programming and features of the Java language.

  • Use Eclipse for writing and running Java code.

  • Develop programs that use Java collections and apply core object-oriented programming concepts using classes, polymorphism, and method overloading.

  • Test code by applying principles of test-driven development using Java's unit testing framework.

Skills you'll gain

Category: Computer Programming
Category: Programming Principles
Category: Software Engineering
Category: Critical Thinking
Category: Problem Solving
Category: Computer Programming Tools
Category: Data Structures

Inheritance and Data Structures in Java

Course 421 hours4.7 (80 ratings)

What you'll learn

  • Examine the concept of inheritance in object-oriented programming and learn how to extend classes and override methods in a subclass.

  • Analyze and fix different parts of a Java program using Eclipse's interactive debugger.

  • Explore different methods for opening, reading, and writing to external files, and deal with errors and exceptions.

  • Examine advanced techniques for storing and manipulating data in collections, and parse text using regular expressions (or regex).

Skills you'll gain

Category: Computer Programming
Category: Programming Principles
Category: Computer Programming Tools
Category: Data Structures

Instructor

Brandon Krakowsky
University of Pennsylvania
7 Courses135,031 learners

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