Advanced Computer Science: Applied Data Science
All Genders Course; Prerequisite - Successful completion of Algebra II and AP Computer Science Principles or permission from the administration; experience with Python or text -based programming language required; Fall semester or Full year course
Course Overview
Data science is an interdisciplinary field that applies computer science, mathematics, statistics, and machine learning to analyze big data and solve many modern world problems. Data scientists are behind everything from artificial intelligence at Google, to the time and place a hurricane will make landfall, to deployment logistics in the US military, to player selection on sports teams, to the algorithm that determines whether an application will get read at a top choice college. In this course, students will develop skills in computer programming, information technology, and statistics. They will use the Python and SQL programming languages to explore, clean, manipulate, analyze, and visualize big data. Students will also apply the data science pipeline and statistical concepts such as visualization, modeling, and inference to solve real-world case study questions and learn how data can drive decision-making in any industry. This is considered an advanced computer science course in our sequence.
Course Approval
One Schoolhouse is fully accredited with the Middle States Association of Colleges and Schools and the Western Association of Schools and Colleges through December 1, 2025. We are an approved online publisher for the University of California.
Academic Program Teachers
Academic Program teachers are passionate about helping students flourish and thrive.
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With small sections (averaging 15 students), teachers inspire, encourage, and instill confidence in their students.
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Teachers are drawn from top independent schools across the country and participate in our extensive training on current research and best practices in online instruction methods.
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Teachers are experts in their subject field and also highly qualified, with over 80% having a master’s degree or a terminal degree.
What Happens In The Second Semester?
Students wishing to pursue a data science project may enroll in the course for the full year. For students continuing into Semester II, the course shifts into personalized, project-based work, where students engage in deep, sustained inquiry, authentic and iterative research, critical analysis, and rigorous reflection, revision, and assessment as they journey through a self-designed, long-term activism, design, or research project on the topic of their choosing. Guided by a One Schoolhouse teacher, students pursue individual study/self-assessment or collaborative seminar/peer-review. Pathway options from which students choose include:
Spring Activism Seminar
In this seminar, students identify a need and create a plan to effect economic, environmental, political, or social change in a target community. Utilizing a social science approach to research and evaluation, students are guided through the process of planning the deployment of a novel idea and identifying markers of success. Students may create a strategic plan for a club or non-profit or design an artistic product in this seminar.
Spring Design Seminar
In this seminar, students design a technological solution to a real-world problem. Through the engineering design process/scientific method, students gather and analyze data to determine the effectiveness of their model or the accuracy of their hypothesis. Students may prototype and produce a public product in this seminar.
Spring Research Seminar
In this seminar, students answer a theoretical or ethical question. Utilizing the social science/humanities tools for source evaluation, students collect, critique, and evaluate artifacts or primary source documents to explore their thesis. Students may create a written or multimedia product in this seminar.
Upon completion of their inquiry-driven project, students will have gained academic maturity and expanded their ability to engage in a diverse and changing world. They will be able to draw and defend conclusions from theoretical underpinnings, contextual background, and mathematical analysis or source evaluation. Finally, they will have created and tested something useful of their own design or will be able to defend a position based on their own research.
