Undergraduate courses completed
Completing undergraduate courses in Data Science equipped me with a robust understanding of statistical analysis, programming languages like Python and R, machine learning algorithms, and data visualization techniques. Through a blend of theoretical concepts and practical applications, I learned to extract insights from large datasets, make data-driven decisions, and develop solutions to real-world problems.
On the other hand, undergraduate courses in Health Science provided a comprehensive understanding of the human body, health systems, and public health issues. Topics explored ranged from anatomy and physiology to epidemiology and biology. Skills I learned include analyzing health data, assessing risk factors for diseases, and developing strategies for promoting wellness and preventing illnesses.
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Principles of Programming
Computer Appls & Info Technology
Advanced Excel in Business
Data Science and Society
Business Data Visualization
Exploring Data in R and Python
Business Process Management
Business Intelligence
Math Tools for Data Science
Business Machine Learning
Info Systems, Analytic, AI Business
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Precalculus
Introductory Calculus I
Calculus for Engineers I
Calculus for Engineers II
College Algebra
Applied Linear Algebra
Elementary Statistics
Statistical Methods in Health Science Research
Nature of Mathematics
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Biological Anthropology
General Chemistry I
General Chemistry II
Organisms
Human Anatomy
Human Physiology
Ecology and Evolution
Rehab Biomechanics
Environmental Health
Cell and Molecular Biology
History of Medicine
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Intro to Philosophy
Medical Terminology
Geography: Global Dimension
Epidemiology
General Psychology
Intro to Abnormal Psychology
Graduate courses completed
Throughout my academic journey, I have successfully completed an array of rigorous graduate courses that have equipped me with a robust skill set and deep knowledge in various specialized areas. My coursework included advanced topics such as biostatistics, data management, and epidemiology. These courses have not only broadened my perspectives but have also honed my critical thinking and problem-solving abilities, preparing me to tackle complex challenges in the field of data analysis with confidence and proficiency.
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Introduction to Public Health
Social and Behavioral Sciences for Public Health
Public Health Administration and Management
Principles of Environmental Health Sciences
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Principles of Epidemiology
Infectious & Chronic Disease Epidemiology
Epidemiologic Methods I
Epidemiologic Methods II
Current Issues in Epidemiology
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Data Management in SAS
Statistical Reasoning for Public Health
Biostatistics II
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Introduction to Research Methods
Capstone Seminar
Community Practicum