Introduction to Tableau: (developing)

Covering foundational concepts, loading data and workbooks and navigating the interface. Hands-on visualization work using an Airbnb dataset. Best practices for data formatting and presentation, including dual-axis graphs and the distinctions between worksheets, dashboards, and stories, culminating in the development of a fully functional Tableau dashboard.                                                                                                                                                                                     

Introduction to Tidyverse: (developing)

Basics of R programming using the Tidyverse toolkit. Practice manipulating data with dplyr, filtering, sorting, and summarizing a real country dataset. Visualizing that data with ggplot2 by creating line plots, bar plots, and histograms. Introduces exploratory data analysis and shows how combining these tools helps turn raw data into useful insights. No prior R experience is needed, making it a great starting point for anyone new to data analysis.

Introduction to data visualisation with ggplot2 (developing)

Principles of good data visualization using ggplot2, a popular R package built on the grammar of graphics. Explore the three core layers of a plot: Data, Aesthetics, and Geometries, and use them to build clear, professional visualizations. Create complex exploratory plots, building a strong foundation for effective data visualization in R.