Online Course – Certified Professional Internship in Object-Oriented Programming in Java from Google and the University of California, San Diego

Java Programming: Solving Problems with Software

• Course 1
• 17 hours
• 4.6 (7,936 ratings)

Course Details

What will you learn?

• Learn to program in Java and improve your programming and problem-solving skills.
• You will learn to design algorithms, develop and debug programs.
• Using customized open source classes, you will write programs that can access and convert images, websites, and other types of data.
• At the end of the course, you will build software that categorizes the popularity of various baby names in the US over time by analyzing comma-separated values ​​(CSV) files.

After completing the course you will be able to:

• Edit, compile, and run a Java program;
• Use conditions and loops in a Java program;
• Use the Java API documentation when writing programs;
• Fix a Java program using the scientific method;
• Write a method in Java to solve a specific problem;
• Develop a set of test cases as part of program development;
• Create a class with several methods that work together to solve a problem;
• Use divide-and-conquer design techniques for a program that uses multiple methods.

Skills you will acquire

• Category: Algorithms
• Category: Troubleshooting
• Category: Strings (Computer Science)
• Category: Java Programming

Java Programming: Arrays, Lists, and Structured Data

• Course 2
• 14 hours
• 4.7 (3,162 ratings)

Course Details

What will you learn?

• Expand the software engineering skills you learned in the course “Programming in Java: Solving Problems with Software” by learning new data structures.
• Use these data structures to build more complex programs that use Java’s object-oriented features.
• At the end of the course, you will write an encryption program and a program to break your encryption.

After completing this course you will be able to:

• Read and write data from a file;
• Resolve problems related to data files;
• Perform quantitative analyses of data (e.g., find maxima, minima, averages);
• Store and manipulate data in an array or ArrayList;
• Combine multiple departments to solve larger problems;
• Use recursive structures and collections (including maps) in Java.

Skills you will acquire

• Category: Data Structure
• Category: Cryptography
• Category: Scatter table
• Category: Java Programming

Object-oriented programming in Java

• Course 3
• 39 hours
• 4.7 (5,750 ratings)

Course Details

What will you learn?

• Welcome to our course on object-oriented programming in Java using data visualization.
• People come to this course with different goals – and we are very excited to work with each of you!
• Some of you want to become professional developers, others want to improve your programming skills to implement the personal project you are thinking about.
• This is an intermediate Java course. We recommend this course for learners who have prior experience in software development or a background in computer science.
• Our goal is that at the end of this course each of you will feel empowered to create a Java program that is more advanced than anything you have created before.
• In the course of achieving this goal, you will also learn the basics of object-oriented programming, how to leverage the power of existing libraries, how to build graphical user interfaces, and how to use some basic algorithms for searching and sorting data.
• And this course is project-based, so let’s dive right into the project!

Skills you will acquire

• Category: Logic Programming
• Category: Java Programming
• Category: Object-Oriented Programming (OOP)
• Category: Sorting algorithm

Data structures and performance

• Course 4
• 41 hours
• 4.8 (2,221 ratings)

Course Details

What will you learn?

• How do Java programs deal with large amounts of data?
• Many of the data structures and algorithms that work with toy examples fail when applications process large, real-world data sets.
• Efficiency is critical, but how do you achieve it, and how do you even measure it?
• This is an intermediate Java course. We recommend this course for learners who have prior experience in software development or a background in computer science.
• In this course, you will use and analyze data structures used in industrial-level applications, such as linked lists, trees, and scatter tables.
• Explain how these data structures make programs more efficient and flexible.
• Big-O asymptotic analysis will be applied to describe the performance of the algorithms.
• The program that will be built during this course will allow the user to manage, influence, and draw conclusions from large sets of textual data.

Skills you will acquire

• Category: Trees (data structures)
• Category: Data Structure
• Category: Linked list
• Category: Binary tree