Data Science and Statistics for High School Research
Research methodologies at any level continue to rapidly evolve. As such, educators need to be equipped with the most appropriate conceptual frameworks and tools to facilitate quality research. This workshop focuses on both the foundations and advancements in statistical analysis and data science approaches. Foundational topics include exploratory data analysis, hypothesis testing and regression analysis. Moreover, participants will be exposed to tools and methodologies in data analysis that prevail in the current research landscape. The workshop will use extensively use Microsoft Excel for data analysis.
At the end of the workshop, the participants are expected to
1) explain fundamental concepts related to exploratory data analysis, hypothesis testing and regression analysis
2) determine which approach or method is most useful for revealing causal information and for establishing relationships between variables
3) efficiently use Microsoft Excel as a tool for data analysis
- PPST Domain Covered: [1.1.2] Apply knowledge of content within and across curriculum teaching areas. [1.5.2] Apply a range of teaching strategies to develop critical and creative thinking, as well as other higher-order thinking skills. [4.3.2] Adapt and implement learning programs that ensure relevance and responsiveness to the needs of all learners.
Speakers
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Dr. Angela Fatima Guzon
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Dr. Victor Andrew A. Antonio