Prompt Engineering Jobs: Your 2025 Career Guide
January 14, 2025
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Elevate Your Career as a Tech Leader. Master the art of modeling business applications and prepare yourself for the professional world of information systems.
Instructors: Yizhen Zhao
Included with
You will learn about constructing domain models.
You will be introduced to preliminary topics in data science and explore the process of building a web application using Python.
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The Information Systems Foundations specialization provides an immersive experience into software development and information systems across four courses. Designed to progressively build from basic concepts to advanced applications, it aims to arm you with practical skills in software engineering, domain modeling, and Python programming. Beginning with advanced software engineering techniques and systems thinking, this specialization advances through object-oriented programming, culminating in hands-on Python projects that tackle real-world problems. Throughout this specialization, you'll master the art of modeling significant business applications swiftly and effectively, preparing you for challenges in the professional world of information systems.
Applied Learning Project
Throughout the Information Systems Foundations specialization, you'll engage in diverse projects that bridge theoretical knowledge with practical application. These projects range from constructing domain models using advanced software engineering principles to tackling complex software development tasks that blend object-oriented programming with business needs. As you delve into Python programming, you'll undertake hands-on challenges designed to enhance your coding proficiency, applying it to real-world problems and introductory data science concepts. This project-based approach not only solidifies your understanding of the material but also equips you with a portfolio showcasing your ability to implement solutions in various aspects of software development and information systems.
The primary objectives of this course are to introduce software engineering techniques and their application to real-world business problems. You will be equipped with practical design and programming techniques for the purpose of modeling significant business applications quickly.
In a step-by-step manner, the instructor will take you through the process of systematically combining object-oriented programming techniques, business processes, and complex data models to assemble models that are user friendly and meet business requirements. You will learn how to employ systems thinking, the object-oriented paradigm, the visual programming technique, as well as productivity tools to put together complicated, powerful designs. We will practice simple and smart ways of making software programming enjoyable.
This course is a continuation of the Introduction to Software Development and Applications course. In this course, you will dive further into exploring software engineering techniques and their application to real-world business problems. Students who take this course will be equipped with practical design and programming techniques for the purpose of modeling significant business applications quickly.
In this course you will learn about constructing domain models. You will also refine your skills to employ systems thinking, the object-oriented paradigm, the visual programming technique, as well as productivity tools to put together complicated, powerful designs. We will practice simple and smart ways of making software programming enjoyable.
This hands-on Python programming course offers students an opportunity to obtain proficiency in the core concepts of Python as well as the programming skills for building applications using tools from various task-specific Python libraries. The course covers important topics in computer science and information systems such as data types, reading and writing to standard IO, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, basic object-oriented programming concepts, and more.
You will be introduced to preliminary topics in data science and explore the process of building a web application using Python. You will complete hands-on programming tasks using your creativity and learn how to apply Python to resolve real-world problems.
This hands-on Python programming course offers students an opportunity to obtain proficiency in the core concepts of Python as well as the programming skills for building applications using tools from various task-specific Python libraries. The course covers important topics in computer science and information systems such as data types, reading and writing to standard IO, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, basic object-oriented programming concepts, and more.
You will be introduced to preliminary topics in data science and explore the process of building a web application using Python. You will complete hands-on programming tasks using your creativity and learn how to apply Python to resolve real-world problems.
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. The university is a leader in experiential learning, powered by the world’s most far-reaching cooperative education program. The spirit of collaboration guides a use-inspired research enterprise focused on solving global challenges in health, security, and sustainability.
Taking this Specialization by Northeastern University may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
Taking this Specialization by Northeastern University may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
Northeastern University
Degree · 1.5-3 years
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Yes. This content fulfills to pre-requisite coursework (previously called MSIS Bridge) to start your performance-based admissions pathway courses for the Online MS in Information Systems program.
This specialization can be completed in 2 months by dedicating 10 hours a week to the coursework.
No background knowledge required. These courses are designed specifically to give learners with no previous tech or engineering experience the knowledge and skills necessary to succeed in the Master of Science in Information Systems program at Northeastern University.
No, you will not earn university credit. After completing this specialization, you'll be eligible to join the Online MS in Informations Systems performance-based admission pathway.
After completing this specialization, you'll be eligible to join the Online MS in Information Systems performance-based admissions pathway.
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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