What Is Programming? And How To Get Started
January 28, 2025
Article
Learn the basics of Python Programming. Implement solutions to real-world problems using Python
Instructors: Steven Osburn
2,069 already enrolled
Included with
(35 reviews)
Recommended experience
Beginner level
To be successful in this course, you should have a background in basic algebra, statistics, and how a computer works.
(35 reviews)
Recommended experience
Beginner level
To be successful in this course, you should have a background in basic algebra, statistics, and how a computer works.
Students will master the basic skills of coding in python and will be able to understand the syntax.
Students will get an introduction to Data Science material and learn how to perform data analysis and visualization using python.
Students will understand why object oriented programming is used and how to create a graphical user interface.
Students will apply their gained python skills to the field of Machine Learning, where they will get to build their own classifiers and prediction models.
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In today’s society, uses for new technologies are broadening in scope and revolutionizing the world. Many new technologies automate redundant tasks so people may complete tasks of greater priority. These new automated technologies depend on the constant innovation of software. To develop software that can increase our efficiency and change the world for the better, it is vital to understand how to code using different programming languages. This specialization introduces the basics of the Python programming language and teaches how to implement solutions to real-world problems using Python syntax. Topics in this course range from utilizing integrated development environments (IDEs) to implementing Python syntax in scripts. Some of the position titles that may benefit from this course are computer scientist, computer engineer, software engineer, software developer, software tester, electrical engineer, mechanical engineer, chemical engineer and aerospace engineer.
You do not need programming or computer science experience to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!
Applied Learning Project
In each of these courses, you will complete coding problems that will strengthen your coding skills. At the end of each course, you will be asked to complete a peer review assignment. You will be tasked with creating a simple calculator and working with data to create data type arrays, implement DataFrames, and display the data in a scatter plot. You will also be asked to design an application that will convert a command line application to a GUI, and use your knowledge about machine learning to develop a classifier that helps medical personnel distinguish between malignant and benign tumors.
Students will master the basic skills of coding in python and will be able to understand the syntax.
Students will learn how to perform data analysis and visualization using python.
Students will understand why object oriented programming is used and how to create a graphical user interface.
Students will be able to apply advanced python coding skills in the real world by creating machine learning models.
Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it.
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There are 15 modules, spread across 4 courses. Each module is based on one chapter of the textbook. The specialization can be completed in approximately 4 months.
It is not necessary to take the courses in a specific order, but we recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.
Coursera courses and certificates don't carry university credit, though some universities may choose to accept them for credit.
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.
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