Data visualization is an essential skill for professionals working with quantitative data. This advanced course delves into the power of R and the tidyverse package for creating compelling visualizations and reproducible reports. Through hands-on modules, learners will expand their knowledge of ggplot2, delve into spatial data visualization, and master interactive and animated figures using plotly and gganimate.
Certificate Available ✔
Get Started / More Info
This course comprises three modules focusing on advanced figures with ggplot2, spatial data visualization, and interactive and animated figures using plotly and gganimate.
Enhance your data visualization skills with this module, which explores advanced figures with ggplot2. From variations on scatterplots to creating interactive and animated figures, you will learn how to expand your visualization options and create compelling visualizations for your data.
Delve into the world of spatial data visualization with this module. Learn to create choropleths, bubble maps, and other spatial figures. With hands-on exercises and quizzes, you will master techniques for visualizing spatial data effectively.
Master the art of creating interactive and animated figures with plotly and gganimate. This module will guide you through the process of making your ggplot figures interactive and animating them, enhancing your ability to create engaging visualizations.
Data Science: Statistics and Machine Learning empowers learners to master regression analysis, machine learning, and data product development, culminating in a portfolio...
Demand Planning in RStudio: Create Demand Forecast is a 2-hour project-based course for Supply Chain and Operations Analysts, focusing on demand data analysis, forecasting,...
Prepare for rapid growth and expansion by creating a relational database for an online grocery store using MySQL Workbench.
Tools for Data Science is a comprehensive course that teaches the essential tools and skills required for a successful career in Data Science.