Brandon Krakowsky

Brandon Krakowsky is a Lecturer at the School of Engineering and the Research & Education Director at the Wharton Customer Analytics Initiative, where he leads an innovative and cutting edge Research Opportunity program, focusing on the development and application of customer analytics methods. He works to design, scope and execute data-driven research projects, providing corporate sponsored real-world data to top faculty and academic researchers from around the world. Brandon received his B.A. in Communications and American Studies from Boston College. He then went on to earn a Masters in Computer and Information Technology from the University of Pennsylvania in 2008.

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Inheritance and Data Structures in Java (Coursera)

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. [...]

Introduction to Java and Object-Oriented Programming (Coursera)

Apr 15th 2024
Introduction to Java and Object-Oriented Programming (Coursera)
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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 [...]

Introduction to Python Programming (Coursera)

Apr 15th 2024
Introduction to Python Programming (Coursera)
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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. [...]

Data Analysis Using Python (Coursera)

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 [...]