Fisheries Data Analysis with R focuses on equipping participants with practical skills for analyzing aquatic data using the R programming language. This course emphasizes hands-on projects that allow learners to engage with real-world datasets, fostering a deeper understanding of fisheries management and aquaculture practices. Participants will learn to manipulate, visualize, and interpret data, ultimately enhancing their decision-making capabilities in the fisheries sector.
Throughout the course, learners will engage in interactive projects that culminate in the publication of their findings in Cademix Magazine, providing an opportunity to showcase their expertise. The curriculum is designed to bridge the gap between theoretical knowledge and practical application, ensuring that graduates are well-prepared to meet the demands of the job market. By the end of the program, participants will have developed a robust portfolio demonstrating their analytical skills and insights into fisheries data.
Introduction to R and RStudio for Data Analysis
Data Import and Export Techniques for Fisheries Data
Data Cleaning and Preprocessing for Aquatic Datasets
Exploratory Data Analysis (EDA) Techniques in R
Statistical Analysis and Hypothesis Testing in Fisheries
Data Visualization with ggplot2 for Fisheries Insights
Time Series Analysis in Fisheries Management
Predictive Modeling Techniques for Aquaculture
Spatial Analysis and Mapping of Fisheries Data
Final Project: Comprehensive Fisheries Data Analysis Report