Statistics
Elementary Statistical Methods
3 College Credits | UT Course Code: SDS 301 | TCCN Course: MATH 1342 | Core Code: 020
High School Course Prerequisites: Algebra I required, Algebra II recommended
Engage in collaborative problem solving, learn to analyze data, and express findings effectively.
This introductory course covers the basic foundations of data science. Students use interactive applications to explore topics like frequency distributions, sampling, experimental design, inference and regression — all while building mathematical literacy.
Hands-on data analysis, methods to extract key insights, and coding skills taught in this course are aligned to college expectations and the current career landscape. Students also develop quantitative reasoning skills and learn how to use data science across multiple disciplines.
Course Structure
Through Flipped Learning, students engage in collaborative problem solving, while individual depth of understanding is reflected in regular assessments. Students hone mathematical and critical thinking skills through scaffolded learning experiences and statistical methodologies.
Big Ideas
- Data analysis and experimental design
- Making inferences based on data
- Data relationships
What Students Gain
- An intuitive understanding of the foundations of data science
- Hands-on data analysis experience
- Coding skills
- Quantitative reasoning skills
What Students Say
“I never thought about majoring in statistics, but after this class it has definitely become an option.”