Financial Education
Data Science Foundations and Exploration Lab
- Financial Education
- STEM
- Workforce Readiness
Why Adopt These Courses?
These two courses empower students with knowledge about the fundamentals of data science, its currency in the job market, and its applicability to everyday life.
Data Science Foundations introduces students to what data science is and why it matters, covering topics like collecting, visualizing, and understanding data; it was recently updated to define artificial intelligence (AI), explore how it is fed by large data sets, and identify how students might be interacting with AI already.
Data Science Exploration then introduces students to the role data science plays in the banking industry through immersive, real-world simulations.
At-A-Glance
Grade Level
9th, 10th, 11th, 12thLength
2 digital courses with 6 lessons, 15-20 mins each
Languages
Standards
Common Core Standards in Statistics & Probability, International Standards for Technology in Education (ISTE) Standards
Curriculum Fit
Economics, Math, Statistics, and College & Career Prep
Students will learn about machine learning, data visualization, database management, data collection, various applications, and high demand careers within the field of data science.
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Students will discover various methods of data collection and then learn about ways that data is cleaned and validated before it is analyzed.
Students will learn about the processes of analyzing and visualizing data and will explore various ways that data can be presented.
Students will understand the different uses of dashboards and reports, then determine which is better to use for a variety of audiences.
Students will learn the skills and knowledge they need to accurately evaluate the ROI of data science education and career options, specifically within the banking industry.
Students will practice and apply data science concepts to identify financial wellness solutions for common issues faced by young adults.
Students will learn about machine learning, data visualization, database management, data collection, various applications, and high demand careers within the field of data science.
.
Students will discover various methods of data collection and then learn about ways that data is cleaned and validated before it is analyzed.
Students will learn about the processes of analyzing and visualizing data and will explore various ways that data can be presented.
Students will understand the different uses of dashboards and reports, then determine which is better to use for a variety of audiences.
Students will learn the skills and knowledge they need to accurately evaluate the ROI of data science education and career options, specifically within the banking industry.
Students will practice and apply data science concepts to identify financial wellness solutions for common issues faced by young adults.
