Description:

This course is intended for applied data analysts, including academics and postgraduate students, policy specialists and others. It will examine questions dealt with in public policy, the social sciences and industry, using real data. This includes surveys, and economics and public health data.
The unit will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, and create publication-standard graphs of the results. The end result will be more professional and easy to understand research.
Exercises will be provided, including additional problems and datasets for extra practice outside of scheduled sessions, and one-on-one consultations can be scheduled by appointment the following week.

Start: Monday, 20 January 2025 @ 10:00

End: Tuesday, 04 February 2025 @ 16:00

Duration: 5 days, across 2 weeks, Jan 20-22 & Feb 3-4

Timezone: Melbourne

Venue: online

 Country: Australia

Prerequisites:

No prior experience with R, or any sophisticated quantitative methods are required for this course. Participants should be computer literate and use data in their occupations (or study, if they are a student) and understand some of the basics of statistics. Some basic knowledge with regression is helpful, as is the ability to do simple coding and programming.

Learning Objectives:

This is a course for subject matter experts who want to use more quantitative analysis in their work. By the end of the week you will be able to better conduct basic descriptive analysis and regression in R, and will be able to create impressive looking visualisations.

Eligibility:
  • Open to all

Organiser: ACSPRI

Contact: info@acspri.org.au ph: +61 3 8376 6496

Host institution: ACSPRI

Keywords: Introduction to R, R statistical software, R statistics, Statistics, Statistical Methods

Fields: ENVIRONMENTAL SCIENCES, INFORMATION AND COMPUTING SCIENCES, TECHNOLOGY, MEDICAL AND HEALTH SCIENCES, EDUCATION, BUILT ENVIRONMENT AND DESIGN, ECONOMICS, COMMERCE, MANAGEMENT, TOURISM AND SERVICES, STUDIES IN HUMAN SOCIETY, PSYCHOLOGY AND COGNITIVE SCIENCES

Capacity: 12

Event type:
  • Workshop
Tech Requirements:

You will need your own computer preloaded with R and an internet connection.

Cost Basis: Cost incurred by all

Data Analysis in R: Online https://dresa.org.au/events/data-analysis-in-r This course is intended for applied data analysts, including academics and postgraduate students, policy specialists and others. It will examine questions dealt with in public policy, the social sciences and industry, using real data. This includes surveys, and economics and public health data. The unit will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, and create publication-standard graphs of the results. The end result will be more professional and easy to understand research. Exercises will be provided, including additional problems and datasets for extra practice outside of scheduled sessions, and one-on-one consultations can be scheduled by appointment the following week. 2025-01-20 10:00:00 UTC 2025-02-04 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Introduction to RR statistical softwareR statisticsStatisticsStatistical Methods