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Beginners Statistics with R (in-person)

Dr Maria Christodoulou & Oxford University Statistical Consulting (OxUSC)

All DPhil students Research staff Statistics

Tuesday, 10 October 2023 to Tuesday, 05 December 2023, 9am - 12pm

This course will provide an introduction to basic statistical concepts, methods and tools for scientific research.

COURSE DETAILS

The course consists of a three hour class, 09.00 - 12.00, every Tuesday of Michaelmas Term 2023 (except Tuesday 24th October) until 5th December 2023.

This course will provide an introduction to statistical inference and basic commands using R.

Topics covered include: hypothesis testing, basic statistical testing procedures, linear regression, base R, and introduction to the tidyverse suite of R packages.

LEARNING OUTCOMES

By the end of this course participants will:

  • Become more familiar and comfortable with basic statistics and probability concepts.
  • Learn how to conduct rudimentary statistical tests.
  • Understand the different types of data and their connection to the available hypothesis testing techniques.
  • Start to become familiar with interpretation and reporting of statistical outputs.
  • Be comfortable with base R and able to load libraries, perform simple data wrangling tasks, and plot simple graphics.
  • Be able to perform data wrangling tasks using modern R functionalities.

INTENDED FOR

DPhil students and research staff with little prior knowledge of statistical tools and approaches, and who need them for their research

NUMBER OF PLACES

30

COURSE LEADER

Dr Maria Christodoulou & Oxford University Statistical Consulting (OxUSC)

TIME / Date

09.00 - 12.00 | 10th October 2023

09.00 - 12.00 | 17th October 2023

09.00 - 12.00 | 31st October 2023

09.00 - 12.00 | 7th November 2023

09.00 - 12.00 | 14th November 2023

09.00 - 12.00 | 21st November 2023

09.00 - 12.00 | 28th November 2023

09.00 - 12.00 | 5th December 2023

BOOKING INFORMATION

Book your place on Beginners statistics with R by clicking here.

TERMS & CONDITIONS

When registering for this course, please check our Terms and Conditions.

RDF SKILLS 

A1, A2

The Researcher Development Framework (RDF) provides a framework for planning and supporting the personal, professional and career development of graduate students and research staff. See the the following for more details:

The Researcher Development Framework page

The Researcher Training Tool (click on Researcher Development)

Vitae (Vitae is a national organisation dedicated to realising the potential of researchers through supporting their professional and career development.)