Shannon Ellis is an Assistant Teaching Professor in the Cognitive Science Department at UC San Diego where she teaches data science and programming to undergraduates. Shannon is particularly passionate about data science, data science ethics, pedagogy, and education. She aims to ensure that data science education is accessible to everyone, with a particular focus on individuals from marginalized groups who typically have not had access to such materials and training.
Coursera
Dive into the world of data science with 'Introduction to the Tidyverse' on Coursera. This course will teach you how to use a suite of powerful tools designed for efficient data analysis and visualization. From understanding tidy data principles to mastering the project life cycle, this course is perfect for beginners looking to start their journey in data science.
Coursera
Discover the essential skills needed to transform raw datasets into a unified format ready for statistical analysis with this comprehensive course on importing data in the Tidyverse. Whether you're working with diverse data sources or need to prepare data for complex analyses, this course will equip you with the tools and techniques necessary to streamline your workflow.
Coursera
Discover how to tame unruly data sets and unlock their potential with 'Wrangling Data in the Tidyverse' on Coursera. This course will teach you to transform disorganized datasets into tidy formats using R's versatile Tidyverse ecosystem, enabling effective visualization and machine learning applications.
Coursera
Discover how to transform raw data into insightful visual stories with 'Visualizing Data in the Tidyverse'. This course, offered by Coursera, will equip you with essential skills for effective data visualization using R's versatile tidyverse package. Whether you're a budding data scientist or an experienced analyst looking to refine your presentation techniques, this course provides a comprehensive guide to creating impactful visualizations.
Coursera
Develop a deep understanding of modeling and analysis techniques essential for extracting valuable insights from your data. This course focuses on the powerful Tidyverse tools that will help you ask the right questions of your data and apply appropriate modeling approaches to uncover hidden patterns and relationships.