LIVE CODING BOOTCAMP
R Basics & Beyond:
Introduction to Data Analysis with R
Start your journey with data. Master the fundamentals of analytics with R, a leading programming language for data science, with live interactive sessions every week.
What you will get
Over 12 weeks, you’ll learn to harness the potential of R to analyze data and derive insights through:
- Weekly two-hour interactive workshops
- Four hours of optional help sessions each week
- Hands-on projects with real datasets
- An online forum for assistance and collaboration
- Lifetime access to our tutorial library
- And much more!
Who the course is for
Open to all students or professionals looking to build expertise in data analysis. There are no prerequisites. All skill levels are welcome.
We will primarily use health datasets in our practicals, but the skills learned are broadly applicable.
Bootcamp details
3 months
Apr 9 - Jun 25
Online classroom
3-5pm GMT (11am-1pm ET)
9-11pm GMT (5-7pm ET)
Choose a session that works for you
3-5pm GMT (11am-1pm ET)
Drop in for help during any session
Tuition: $145/mo
We offer a generous 14-day full refund policy so you can try the course for two weeks risk-free, to see if it's right for you
Financial aid is available for students in need. If you require aid, please fill in the regular application form, then you will be sent a financial aid application form.
To organize a private cohort for an organization, email [email protected]
Testimonials
Course Modules
Our comprehensive curriculum is designed to build your expertise in data analysis using R.
R foundations
Build a strong core. Learn the basics of R programming, RStudio, and data exploration, while collaborating with your peers on hands-on data projects.
DURATION: 3 weeks
TOPICS
Coding basics, error management, RStudio projects, R Markdown, using ChatGPT, esquisse
Data Wrangling
Learn to handle messy data with ease. Master dplyr functions for manipulating datasets, and build the skills to clean, filter, and transform data for analysis and visualization.
DURATION: 4 weeks
TOPICS
Subsetting data, mutating, conditional operations, grouped data, pivoting
Data Visualization
Learn to communicate complex findings with clarity and impact. Develop the skills to create stunning data visualizations with the most popular data visualization package in R, ggplot2.
DURATION: 3 weeks
TOPICS
Grammar of graphics, geometric shapes, aesthetics, themes, scales, labels
Capstone Project
Showcase your data analysis expertise. Employ data wrangling, visualization, and analysis techniques to a chosen case study and deduce actionable insights from your analysis.
DURATION: 2 weeks
TOPICS
Data cleaning, survey data exploration, dictionaries, results communication
Why Enroll?
Benefit from expert guidance, a supportive community and a tailored learning experience. Graduate with a certificate and a capstone project to add to your data science portfolio.
Expert Guidance
Receive help right when you need it: our team of teachers will be there to support you with timely assistance as you tackle challenging assignments and projects.
- Weekly live classes
- Study halls: our facilitators help you with every problem
- Access to expert-curated resources for further learning
A Supportive Community
Sometimes it’s hard to find the motivation to keep going when you’re studying online. That’s why we launched this guided course: with live classes and study halls, you will be surrounded by a supportive group of like-minded people and become part of a future data analyst network.
- Rich peer interactions in our videoconferencing classroom
- Online groups, forums, teams: get all the support you need
- Peer review and feedback sessions
A Tailored Learning Experience
With the careful guidance of our experts, our 3-month curriculum covers all the key topics needed to become proficient in data analysis with R and start driving data-informed decisions in your field.
- Carefully crafted assignments that mirror tasks in the field
- Practical projects with real world datasets
- Rich video and text materials available at any time
Bootcamp Objectives
Acquire programming expertise, form valuable connections, and use data to drive informed decisions.
Programming Proficiency
Hone your programming skills, becoming proficient in R Markdown, data visualization with ggplot2, and data wrangling techniques.
Peer Connection
Connect with peers in careers in data analysis. Foster lasting relationships and collaboration.
Data Insights
Master data analysis principles and their application in business and academic environments.
Portfolio Building
Showcase your skills by creating a project portfolio using real datasets. Present your findings in rich analysis reports.
Career Development
Leverage career support services to guide your professional development and explore new opportunities in data analysis.
Applied Impact
Use your newfound expertise in programming and data analysis to make a tangible impact on your field.
Course Creators & Tutors
Meet our passionate team of data analysis professionals.
Prof. Olivia Keiser
Course Advisor
Head of the Mathematical Modelling & Infectious Diseases Division, University of Geneva; GRAPH Network Director
Prof. Flavio Coelho
Course Advisor
Associate professor of Mathematical Epidemiology Getulio Vargas Foundation, Rio de Janeiro; EpiGraphHub Director
Kenechukwu Nwosu
Course creator & Tutor
Research Assistant at the University of Geneva; GRAPH Courses Director
Joy Vaz
Instructional lead
GRAPH Network Training Coordinator and Instructor
Camille Valera
Course Creator & Tutor
Project Manager and Scientific Collaborator, the GRAPH Network
Laure Vancauwenberghe
Course Creator & Tutor
Global Health Specialist & GRAPH Instructor