The RSS is a professional body for all statisticians and data analysts wherever they may live.
My RSS
My RSS
Membership
Join now
Member benefits
Fellow
Professional membership
Corporate membership
e-Student
Meet our members
FAQs
Fees
Professional Development
Data Analyst
Graduate Statistician
Chartered Statistician
Data Science Professional
Advanced Data Science Professional
Professional Statistician's Network
Professional Register
Mentoring scheme
Accreditation scheme
The Future Statistician
Sections and local groups
Sections
Local groups
Special interest groups
Volunteering
Future Leaders
Maths 4 Girls
Statisticians for Society
Volunteer with the African Institute for Mathematical Sciences (AIMS)
Volunteer profiles
Find a volunteering opportunity
Volunteer as a charity trustee
Other pro bono opportunities
Guidelines for RSS volunteers
Celebrating statisticians
Medals and prizes jointly awarded by the RSS
RSS honours
Excellence awards
External honours panel
Statistics Are Vital
News and Publications
News
Section and group news
Member callouts
Press and media
Publications
Journals
Significance
Real World Data Science
Statistics law guides
Our research
Change in publisher in 2023
Training and events
Training
Public courses
Online courses
In-company courses
Lean & 6 sigma
CPD
Stats resources
Conference 2025
Accessibility information
Conference costs
Conference streams
Grants and bursaries
Guidelines for presenters
Invited topic sessions
Partnership opportunities
Registration
Submit a talk or poster
Terms and conditions
Venue, accommodation and travel
Conference 2024
Programme and speakers
Past conferences
Events
Events calendar
Video and audio recordings
President's Address
Excellence Awards
RSS Honours
Discussion paper meetings
Named lectures
Webinars
Policy and campaigns
Policy
Our asks of government
Our work on public statistics
Our Data Manifesto
Statistics Under Pressure
Upcoming policy consultations
Climate change resources
Our work on Covid-19
Our external affairs strategy
Policy groups
AI Task Force
Campaigns Advisory Group
Academic Affairs Advisory Group
Covid-19 Task Force
Climate Change and Net Zero Task Force
Data Science Task Force
Education Policy Advisory Group
Public Statistics Advisory Group
Statistics Under Pressure Steering Group
Working Group on Diagnostic Tests
Search policy documents
Covid-19
Data science (strategy, ethics and skills)
Education
Government statistics
Higher education, research and innovation
Stats for the public good
Jobs and careers
Jobs board
Advertise with us
Career development
Opportunities at the RSS
Resources
Resources for journalists
Online courses for journalists
How to write numbers
Teaching resources
Hands-on statistics
Teaching and outreach resources
e-Teacher membership
Statistical explainers
Climate change explainers
Covid-19 FAQs
Guide to statistics on social media
Find an expert
Statistical ambassadors
Professional register
Consultants Directory
Sign in
Join
Introducing the RSS
A short, two minute video introduction
Watch our video
Who we are and what we do
Our history and where to find us
View our 'About' section
Consultants Directory
Find a professionally qualified statistical consultant
Find a consultant
President and staff
Meet our personnel
Meet our president and staff
About RSS
Home
Training
Public courses
Statistics for Journalists
In this section
Introduction to statistics
Analysing & Forecasting COVID19 Trends
Basic Statistics
Identifying Trends and making Forecasts
Intermediate Statistics
Intermediate Statistics
Introduction to Data
Presenting data
Professional development
Consultancy Skills
Data Analytics for Managers
Effective Leadership for Analysts
Fact checking masterclass with Full Fact
Science for Journalists
Software training
Advanced Programming in R
Advanced Programming in R
Advanced Spatial Analysis with R
Big Data: Tools and Statistical Methods
Data Exploration in Tableau
Ethics and Governance in AI
Financial Data Analytics with Python
Generalised Additive Models with R
Interactive visualisation
Intermediate Python
Introduction to data visualisation using R
Introduction to modern Generalised Additive Models in R
Introduction to R
Introduction to Bayesian Analysis using Stan
Introduction to Machine Learning in R
Introduction to Python
Introduction to R & Statistical Modelling in R
Introduction to Tableau
Power BI for Data Exploration and Basic Statistics
Programming in R
Publishing quality charts in R with ggplot2
Python for R Programmers
Text Mining in R
Statistical theory
Bayesian Meta-analysis
Extreme Value Statistics
Survival Analysis
Statistics for Journalists