Lecture 5: Instructional Strategies for Data Science Education
Lecture 6: Data Science Pedagogy
Lecture 7: Tools and Platforms for Teaching Data Science
Lecture 8: Ethics, Bias, and Responsibility in Data Science Education
Lecture 9: Evaluating Data Science Programs and Learning Outcomes
Lecture 10: Emerging Trends and Future of Data Science Education
Lecture 11: Building a Data Science Education Ecosystem
Lecture 12: Career Paths and Professional Development
This course focuses on the design and development of effective data science education programs. Topics include curriculum design, foundational and advanced data science topics, and instructional strategies. Students will explore data science pedagogy, tools for teaching, and the ethical considerations in data science education. The course also covers evaluating programs, emerging trends, and the future of data science education. Learners will gain insights into building a robust data science education ecosystem and understanding career paths in the field.
