Introduction to Data Science
Introduction to Data Science, IDS, is designed to introduce students to the exciting opportunities available at the intersection of data analysis, computing, and mathematics through hands-on activities. Data are everywhere, and this curriculum will help prepare students to line in a world of data. The curriculum focuses on practical applications of data analysis to give students concrete and applicable skills. Instead of using small, tailored, curated data sets as in traditional statistics curriculum, this curriculum engages students with a wider world of data that falls into the “Big Data” paradigm and are relevant to students’ lives. The course provides a rigorous but accessible introduction to data science and statistics with some computer science coding. Mathematical modeling is applied throughout the course.
The units in IDS contain lessons that use the 5-E Instructional Model (Engage, Explore, Explain, Elaborate, Evaluate).
Students will develop a strong grasp of the Mathematical Practices:
1. Make sense of problems and persevere in solving them.
2. Reason abstractly and quantitatively.
3. Construct viable arguments and critique the reasoning of others.
4. Model with mathematics.
5. Use appropriate tools strategically.
6. Attend to precision.
7. Look for and make use of structure.
8. Look for and express regularity in repeated reasoning.
The Standards for Mathematical Practice complement the content standards so that students increasingly engage with the subject matter as they grow in mathematical maturity and expertise throughout the high school years.
Units of Study
Unit #1: Graphical Representations
Unit #2: Analysis of Data
Unit #3: Bias in Data
Unit #4: Evaluation of Hypotheses