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Updated in [March 06th, 2023]

This course, Platform Product Development, provides an introduction to Low Code/No Code (LCNC) platforms. Students will learn about data modeling best practices, creating a solid and consistent user experience, and building automations. The course will also cover strategies for managing data sources and customizing applications. Lectures will cover topics such as getting to know the application, data sources, data modeling, and user experience. Upon completion of the course, students will have a better understanding of the inner workings of LCNC platforms.

[Applications]
Upon completion of this course, students will be able to apply their knowledge of Low Code/No Code (LCNC) platforms to build applications. They will be able to understand the core tenants of their selected platform, customize their application, manage data sources, and create a consistent user experience. Additionally, they will be able to further delve into the inner workings of their selected platform.

[Career Paths]
[Title]Data Science
[Description]Data Science is a rapidly growing field that combines mathematics, statistics, computer science, and domain knowledge to extract insights from data. It is used to solve complex problems in a variety of industries, from finance to healthcare. Data Science professionals are in high demand, and the demand is only increasing. This course will provide an introduction to the fundamentals of Data Science, including data collection, data analysis, and data visualization. Students will learn how to use popular tools such as Python, R, and SQL to analyze data and create meaningful insights. They will also learn how to use machine learning algorithms to make predictions and build models. Finally, students will gain an understanding of the ethical implications of data science and the importance of data privacy. Upon completion of this course, students will have the skills and knowledge necessary to pursue a career in Data Science.

[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree is ideal for those interested in developing software applications and platforms.

2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as systems analysis, database design, network security, and software development. This degree is ideal for those interested in developing and managing IT systems and platforms.

3. Master of Science in Software Engineering: This degree path provides students with an in-depth understanding of software engineering principles and practices. It covers topics such as software design, software testing, software architecture, and software project management. This degree is ideal for those interested in developing and managing software applications and platforms.

4. Master of Science in Data Science: This degree path provides students with an in-depth understanding of data science principles and practices. It covers topics such as data mining, machine learning, data visualization, and predictive analytics. This degree is ideal for those interested in developing and managing data-driven applications and platforms.

Developing Trends:
1. Cloud Computing: Cloud computing is becoming increasingly popular as a platform for developing applications and platforms. Cloud computing allows developers to quickly and easily deploy applications and platforms without the need for physical hardware.

2. Artificial Intelligence: Artificial intelligence is becoming increasingly important in the development of applications and platforms. AI can be used to automate tasks, improve user experience, and provide insights into data.

3. Low Code/No Code Platforms: Low code/no code platforms are becoming increasingly popular for developing applications and platforms. These platforms allow developers to quickly and easily create applications and platforms without the need for coding.

4. Internet of Things: The Internet of Things (IoT) is becoming increasingly important in the development of applications and platforms. IoT allows developers to connect physical devices to the internet and create applications and platforms that can interact with the physical world.