ENROLLING NOW
R Masterclass:
Data Cleaning, Git, GIS And Dashboarding
Unlock the full potential of R and take your data analysis prowess to new heights with our comprehensive live 12-week Masterclass designed for intermediate R users.
What you will gain
Over 12 weeks, you’ll join live workshops and expand your expertise in data analysis in R:
- Learn version control with Git
- Master advanced data manipulation and visualization
- Develop interactive websites and dashboards
- Learn to work with geospatial data
- Apply your knowledge in a hands-on capstone project
- Get support via live workshops, help sessions, and an online forum
Who the course is for
This course is ideal for analysts with a basic foundation in R, who want to advance their skills. Graduates of our introductory R Basics & Beyond course will find this program to be a natural progression.
We will primarily use health datasets in our practicals, but the skills learned are applicable to any data field.
Course Details
3 months
Apr 10 - Jun 26
Online classroom
3-5pm GMT (11am-1pm ET)
3-5pm GMT (11am-1pm ET)
Drop in for help during any session
Price: $145 per month
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 enhance your expertise in data analysis using R.
Version Control and Collaboration with GitHub
Master collaborative workflows and project management. Learn the fundamentals of Git and GitHub, and deploy your projects as web pages using GitHub Pages and Quarto websites.
DURATION: 2 weeks
TOPICS
Basic Git, GitHub introduction, branching, merging and conflict resolution, deploying web pages
Further Data Manipulation
Learn data joining methods, create custom functions, and master conditional operations and loops. Enhance your skills in handling dates and strings for more efficient data processing.
DURATION: 3 weeks
TOPICS
Data joining, functions and conditionals, loops, dates, strings
Geospatial Visualization
Unlock the power of geospatial data. Create informative thematic maps, visualize physical features, and generate density maps.
DURATION: 3 weeks
TOPICS
Thematic maps, physical features, density maps, shapefile data, CRS, boundary data
Data Reporting Tools
Create parametrized reports for efficient data communication. Learn to build interactive dashboards with Flexdashboard (or Quarto) for enhanced user engagement.
DURATION: 2 weeks
TOPICS
Automation with ggplot2, parametrized reports, Flexdashboard, Quarto
Capstone Project
Leverage advanced data manipulation techniques, geospatial visualization, and data reporting tools to deliver a comprehensive analysis and showcase your expertise.
DURATION: 2 weeks
TOPICS
Course review, project management, data presentation
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 contribute to a healthier world.
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