Elective:
Everything Data
Information has become the modern currency. In all aspects of life, we generate digital footprints, which businesses use for enhancing products and services, governments utilize for policymaking and national security, and scientists employ to push the boundaries of human understanding. CS216 was made to be an initiation to diverse facets of working with data, encompassing acquisition, integration, querying, analysis, and visualization. We learned how to address various data types, ranging from unstructured text to organized databases. This class aimed to deepen knowledge of fundamental concepts, use computational tools for effective data manipulation, & encourage application to authentic datasets in a culminating team project.
Artifacts:
Final project report and visualizations of our team's Kaggle data sets of interest- COVID-19 and its Impacts on Students. My group and I wanted to focus on healthcare, looking at student mental health indicators, and at the time of spring 2022, we wanted to know general global sentiments immediately following the wake of the greater pandemic.
Reflection
Embarking on the journey of data analysis without a computer science background transformed my perspective on biology and marketing. Initially daunting, the course seamlessly blended fundamental concepts with practical applications, demonstrating the relevance of data analysis in my areas of interest.
Lectures served as a solid foundation, bridging the gap between computer science terminology and the language of biology and marketing. The hands-on labs, though initially intimidating, evolved into opportunities to apply newfound knowledge to real-world datasets. The capstone team project, a collaborative effort with diverse minds, underscored the interdisciplinary nature of data analysis. This collaboration not only enriched the project but also highlighted the importance of ethical considerations in data interpretation.
The course revealed that data analysis is a skill set transcending disciplinary boundaries. The intersection of biology, marketing, and data analysis enhanced my analytical capabilities and provided a unique lens for problem-solving. Understanding the nuances of data proved invaluable in refining marketing strategies and contributing to informed decision-making in biological research.
In retrospect, venturing into data analysis without a computer science background significantly enriched my academic and professional journey. This course not only equipped me with practical skills but also fostered an appreciation for the collaborative potential of interdisciplinary projects. It illuminated the idea that individuals from diverse backgrounds can unite to unlock the potential embedded in data, shaping a future where insights drive innovation across various fields.
