Courses

  • 1 Topic

    Intro to EpiGraphHub

    This course aims to enable public health students and professionals to engage as advanced users with the EpiGraphHub platform, our data management, exploration and dashboarding platform. It requires minimal technical knowledge of coding or informatics.

    During this course, you will learn:

    • What the EpiGraphHub platform is, and what functionalities it offers to non-programmer users
    • What databases are available and how datasets are organised
    • How to browse available datasets
    • How to use the interactive drag & drop user interface to develop Exploratory analyses
    • How to create powerful data visualizations and interactive dashboards without writing code
    • How to import new data into the Hub from CSV files as well as Excel and Google spreadsheets
  • 3 Topics

    R for Busy People (cohort 0)

    In preparation for the public launch of our flagship courses, we are excited to offer 12-weeks of free live training to a beta cohort of students.

    Over 3 months of instruction, you will learn how to:

    • Download, install and use R & RStudio
    • Work with R & Rmarkdown scripts and RStudio projects
    • Import and examine datasets in R
    • Wrangle data (by filtering, summarizing, transforming and joining)
    • Visualize data with the popular ggplot2 package
    • Publish reports and other outputs in a range of formats

    At the end, you will feel ready to tackle most basic and intermediate data analysis tasks with R, whether for your academic research, professional practice, or personal interest.

  • 4 Topics

    R foundations (beta)

    This course introduces the essential elements of the R programming language, providing a solid foundation for the more in-depth data analysis topics covered in subsequent courses.

    Topics include:

    • Installing R and RStudio
    • Importing data
    • Data structures and types
    • Basic data summarization and analysis with pre-built functions
    • Visualizing data with esquisse
    • Creating PDF, HTML and DOCX reports with rmarkdown
    • Getting help through online forums

    During the beta release (September 10 to October 10), new lessons will be made public every week.