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 six 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 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:
- Foundations of Data Analysis with R
- Transforming and Cleaning Data with dplyr
- Data Visualization with ggplot2
- Fundamentals of Statistical Software & Analysis
- Further Data Analysis with R
- Data Reporting with R
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
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
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.
