Data Literacy

Course Description:

Course Description:

This course aims to empower individuals with the essential skills and knowledge to effectively navigate and utilize data in today’s data-driven world. Participants will gain a comprehensive understanding of data concepts, techniques, and tools, enabling them to make informed decisions, communicate insights, and drive value through data-informed strategies. The course covers the fundamentals of data collection, analysis, visualization, and interpretation, providing a solid foundation for data literacy across various domains.

Course Objectives:

• Introduce the fundamental concepts and terminology of data literacy
• Develop skills in data collection, cleaning, and preprocessing
• Explore various techniques for data analysis and interpretation
• Learn effective data visualization strategies to communicate insights
• Understand the ethical considerations and responsibilities in handling data
• Apply data literacy skills to real-world scenarios and decision-making processes

The course is designed to be accessible to individuals from diverse backgrounds, regardless of their prior experience with data. Through a combination of lectures, hands-on exercises, case studies, and projects, participants will gain practical experience in working with data and developing their data literacy skills. The course will also emphasize the importance of critical thinking, problem-solving, and effective communication in the context of data-informed decision-making.

Upon completion of the course, participants will be equipped with the foundational knowledge and skills necessary to navigate the data-driven landscape confidently. They will be able to leverage data to drive insights, inform strategies, and contribute to data-informed decision-making processes within their organizations or personal endeavours. The course will also provide a pathway for further learning and specialization in specific areas of data analysis, such as data science, business intelligence, or data visualization, depending on the participants’ interests and goals.

Overall, the Data Literacy course aims to empower individuals to become data-savvy professionals, capable of harnessing the power of data to drive innovation, optimize processes, and make informed decisions in an increasingly data-centric world.

Syllabus:

1. Understand and articulate the importance of data literacy in the modern world
2. Identify reliable data sources and assess the quality and relevance of data
3. Perform basic data cleaning, transformation, and preprocessing tasks
4. Conduct exploratory data analysis using statistical methods and tools
5. Create meaningful and visually appealing data visualizations to convey insights
6. Interpret data analysis results and draw actionable conclusions
7. Communicate data-driven insights effectively to both technical and non-technical audiences
8. Recognize and address ethical considerations in data collection, analysis, and usage
9. Apply data literacy skills to solve problems and support decision-making in various domains
10. Continuously update and expand their data literacy knowledge and skills as the field evolves.

Prerequisites:

• There are no prerequisites for this course.

Grading Policy:

• 2 exams
• 1 capstone project