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Boost Your Computer Programming Skills. With minimal previous exposure, learn two popular programming languages at an accelerated pace.
Instructor: Brandon Krakowsky
59,689 already enrolled
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(1,313 reviews)
Recommended experience
Beginner level
High school or college math.
Minimal prior programming exposure may be helpful but not needed (e.g. Computational Thinking for Problem Solving).
(1,313 reviews)
Recommended experience
Beginner level
High school or college math.
Minimal prior programming exposure may be helpful but not needed (e.g. Computational Thinking for Problem Solving).
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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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.
Applied Learning Project
Learners will write fully-functional Python programs, including an implementation of an online banking system and a data analysis project analyzing movies and ratings from IMDB. Learners will apply Python programming, file I/O, data analysis and visualization, using both PyCharm and Jupyter Notebook.
Learners will also write fully-functional Java programs, including a text file parser that reads, writes, and analyzes text files. Learners will apply Java programming, object-oriented principles, data structures, file I/O, unit testing, code debugging, using Eclipse.
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
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
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.
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).
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
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The courses were designed to be taken in sequence, starting with the first and ending with the last. That being said, learners can pick and choose the courses they are interested in based on their background.
No, but the concepts move very quickly so it is helpful to have some introductory exposure (such as Penn’s Computational Thinking for Problem Solving). This Specialization is intended for anyone who has an interest in problem solving and wants to learn Python or Java.
Learners who complete this series of four courses will be able to write fully-functional programs in Python, applying core programming principles, file I/O, and data analysis and visualization. Learners will also be able to write fully-functional Java programs, applying principles of object-oriented programming, data structures, file I/O, unit testing, and code debugging.
The only math that learners will need for this Specialization is arithmetic and basic concepts in logic.
This Specialization gives learners exposure to material that they will encounter in the University of Pennsylvania’s MCIT Online degree. The Specialization certificate will be viewed favorably by the admissions committee, so be sure to mention it when you apply!
If you have a bachelor's degree and are interested in learning more about the fundamentals of computer science, we encourage you to apply to MCIT on-campus or MCIT Online. Please mention that you have completed this Speciialization in the application.
Visit these links to learn more
MCIT Online: https://www.coursera.org/degrees/mcit-penn
MCIT On-campus: http://www.cis.upenn.edu/prospective-students/graduate/mcit.php
No, this Specialization does not confer any university credit. However, this Specialization gives learners exposure to material in MCIT Online, a fully accredited degree from the University of Pennsylvania. The Specialization certificate will be viewed favorably by the MCIT Online admissions committee so be sure to mention it when you apply!
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.