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Updated in [June 30th, 2023]

This course, Understanding Technology and Data, provides a foundation on how technology and data are applied in everyday life. It is divided into four modules: Understanding Technology, Technology at Work, Exploring Coding, and Discovering Data. By the end of this course, learners will be able to recognize the evolution of electronic devices, identify new technologies in different industries, understand technologies such as Cloud, Artificial Intelligence, Blockchain, recognize what digitalization is and how it affects daily life, understand the basics of computer including its different parts, security features, and working with computers, define coding, identify the key features of JavaScript and Python, and recognize how to interpret data. No specific prior experience with technology and data is required for taking this course.

[Applications]
Upon completion of this course, learners will have a better understanding of technology and data and how they are applied in everyday life. They will be able to recognize the evolution of electronic devices, identify new technologies in different industries, understand technologies such as Cloud, Artificial Intelligence, Blockchain etc., recognize what digitalization is and how it affects daily life, understand the basics of computer including its different parts, security features, and working with computers, define coding, identify the key features of JavaScript and Python, and recognize how to interpret data. Learners can apply this knowledge to their everyday lives, as well as to their professional lives. They can use this knowledge to make informed decisions about technology and data, and to develop their skills in coding and data interpretation.

[Career Paths]
One job position path that is recommended to learners of this course is a Data Analyst. A Data Analyst is responsible for collecting, organizing, and analyzing data to identify trends and patterns. They use data to inform decisions and strategies, and to develop solutions to business problems. Data Analysts must have strong analytical and problem-solving skills, as well as a good understanding of technology and data. They must be able to interpret data and draw meaningful conclusions from it.

The development trend for Data Analysts is very positive. As businesses become increasingly data-driven, the demand for Data Analysts is expected to grow. Companies are increasingly relying on data to inform their decisions, and Data Analysts are essential to helping them make the most of their data. Data Analysts must stay up to date with the latest technologies and trends in data analysis, and must be able to adapt to changing business needs.

[Education Paths]
For learners who want to pursue a degree in technology and data, a Bachelor of Science in Computer Science or Information Technology is recommended. This degree program typically covers topics such as computer programming, software engineering, data structures, algorithms, computer architecture, operating systems, database systems, computer networks, artificial intelligence, and web development. It also includes courses in mathematics, statistics, and other related fields. The degree program typically takes four years to complete and is designed to prepare students for a career in the technology and data industry.

The development trend of this degree program is to focus more on the application of technology and data in different industries. This includes courses in machine learning, data science, cloud computing, blockchain, and other emerging technologies. The degree program also emphasizes the importance of ethical and responsible use of technology and data. Additionally, the degree program is increasingly focusing on the development of soft skills such as communication, problem-solving, and critical thinking.