SELF PACED:

Data Analysis & Statistics Sequence

📊 From Beginner to Proficient Analyst

Welcome to the Self-Paced Data Analysis & Statistics Sequence, where we guide you from beginner to proficient analyst with eight carefully structured courses. 

By the end of the sequence, you will be able to:

  • Write R code to wrangle and analyze complex data
  • Create reproducible documents, websites and dashboards
  • Visualize geographic and time trends
  • Run statistical tests and regression models
  • Automate data processing and visualization
  • Communicate insights with data reports

👨‍💻 Who the Courses Are For

Professionals, students and decision-makers looking to build skills for data analysis and reporting. Course datasets are primarily from health & healthcare, but the skills learned are broadly applicable.

Included Courses:

Partners & Funders

We're grateful to the following organizations for supporting development of these materials.

Course Sequence

Our courses combine rich videos, interactive quizzes, and practical assignments to build data expertise.

R FOUNDATIONS

Get started learning the best language for data analysis. Learn the basics of R, RStudio, Rmarkdown and data importing. 

ESTIMATED TIME TO COMPLETE:  3 weeks (10 HRS OF WORK PER WEEK)

DATA UNTANGLED

Learn to manipulate data using the dplyr package. Filter, mutate, group and summarize your data to extract insights and prepare for downstream analysis.

ESTIMATED TIME TO COMPLETE:  4 WEEKS

DATA ON DISPLAY

Master the most popular data visualization package in R. Create stunning visualizations of your data using ggplot2.

ESTIMATED TIME TO COMPLETE:  3 WEEKS

BASIC WEB DEVELOPMENT

Unlock the power of R to create websites and dashboards that showcase data insights. Leverage GitHub Pages and Quarto to  quickly deploy online content.

ESTIMATED TIME TO COMPLETE:  3 WEEKS

APPLIED STATISTICS

Build statistical expertise with the FoSSA course from Oxford’s Nuffield Department of Population Health. Gain skills in hypothesis testing, regression, survival analysis, and more. All in R, STATA or SPSS.

ESTIMATED TIME TO COMPLETE:  6 WEEKS

DIVE DEEPER

Work with dates, strings, factors, joins, loops, and functions to wrangle complex data into impactful insights.

ESTIMATED TIME TO COMPLETE:  5 WEEKS

GIS

Get started with GIS in R. Build thematic and density maps with ggplot2 and create interactive geospatial visualizations with leaflet.

ESTIMATED TIME TO COMPLETE:  2 weeks

APPLIED R

Polish your R skills for data analysis and communication – visualize demographics, geospatial patterns, and temporal trends in reproducible reports.

ESTIMATED TIME TO COMPLETE:  3 WEEKS

Immersive Live Bootcamps

In addition to our self-paced courses, we also offer a live bootcamp that brings together the best tools and practices for online pedagogy. 

If you’d prefer a guided learning experience with live instruction and support, sign up for our upcoming bootcamps HERE.