Statistics for Student Researchers /
/ 研究導向統計學 高中生技能班 /
Statistics for Student Researchers / / 研究導向統計學 高中生技能班 /
中文說明 → 連結
Statistics is a powerful tool used to design, develop, and decide important policy and economic choices, however students are not being taught how to practically apply the skill to real-world data and questions. While school may teach foundational statistics, we want to encourage students to use statistics to develop their own ideas and ask insightful questions that can yield real discovery.
In an increasingly competitive college landscape, academic research is a critical way for applicants to US and UK colleges to stand out and demonstrate their academic interests. Instead of just saying an applicant is interested in biology, psychology, communications, economics, or any other multitude of majors , students have the opportunity to design a research question and dive into real-world data to inform their analysis. Data-informed research and analysis provides concrete evidence of students working through the questions that pique their curiosity and demonstrate their skills. International academic journals routinely publish high-quality student work across a wide array of topics, and help students shine in their field.
As our globalized world grows increasingly more interconnected, information flows from several channels and we don’t always know how to sort & assemble what we receive. Statistics offers the answer though. With statistics methodology, students will be able to understand how large amounts of data can be categorized and utilized in effective ways to answer big questions! We want to encourage students to think big and equip them with the skills to build their own path.
About This Class:
Statistics for Student Researchers
HOW THIS CLASS WORKS:
Students will cover foundational statistics concepts in the first few classes that are key for understanding data, tables, and graphs. They will learn the way data is used to communicate important insights, and how to properly structure a research question that is clear and precise enough to actually use statistics for!
Students will apply their learning through coding on programs like R to make statistical tests and create graphs and tables. In addition, students will be reading through academic research papers as case studies in order to comprehend how data and statistics is applied to different areas and different kinds of questions! Students will critically analyze the methodology and results, and judge if the papers are credible or not.
Eventually, they will be guided to construct their own questions, and directly apply each week’s learning to their own research which will culminate in a completed research project. In working on their own project, students will see how the methodology and framework of statistics is applied to research in any area of topic.
By the end of the 8 weeks, students will have dove into an area of research that they are interested in, developed a research question, sorted & coded their findings using R software, and be able to analyze and draw conclusions from their research and statistics work. With an understanding of the statistics toolkit for research, students are prepared to take on their own research projects after this class by themselves or with a mentor, and excel in deep, critical analysis.
About THE Instructor
Steven graduated from Leiden University College in the Netherlands with a Bachelor of Science degree in Governance, Economics and Development. During his studies, he completed his thesis on Taipei real estate price analysis, demonstrating his deep interest in data analysis and empirical research. After graduation, Steven has continued to apply the data-driven mindset developed through his academic research to his professional work, excelling at using statistical methods to solve real-world problems.
Beyond his professional achievements, Steven is also a creative and multi-talented individual. In his leisure time, he is passionate about designing innovative board games and creating ceramic sculptures, showcasing a perfect balance between logical analysis and artistic sensibility. This cross-disciplinary interest and experience enables him to guide students with a richer perspective in discovering the application potential of statistics across various fields.
