Overview
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This course will equip participants with the data wrangling skills needed to prepare research data for analysis using R. It will cover both survey data as well as more complex data, such as administrative data. No prior knowledge of R is required; the course will cover the basics of working with R, including R syntax, data types, and basic operations. You'll learn how to import and inspect various types of data. You'll also learn and practice data wrangling: modifying, joining, reshaping, and summarising data to prepare it for analysis. This will be an interactive live coding workshop where you'll be expected to write code along with the instructor. |
Who should attend
- This introductory course is designed for those who have limited knowledge of transforming and manipulating data and are seeking to learn how to use R for data wrangling.
This course is suitable for researchers, evaluators and PhD students.
Entry requirements
What you'll learn
- Understand the basics of working with R
- Import and inspect data
- Create and modify variables
- Subset, reshape, and aggregate data
- Merge data
Time commitment
This is an online course that will require roughly 14 hours to complete.
- 2 full days (9am-5pm AEST)
Assessment
Certification and accreditation
Students who successfully complete the course will receive a Certificate of Completion to verify their skills and achievements.
Facilitators
Cost
| Applicant | Price |
|---|---|
| Standard | A$1,220 |
| Early bird (book 5 weeks before the course starts) | A$1,013 |
| Groups of 3 or more (per person) | A$976 |
| UQ students | A$854 |
| Other students | A$915 |
GST is included in the cost
Discounts can't be used with other discounts, offers or special promotions.
Payment optionsWe accept credit cards (Visa/MasterCard) for payment, including corporate credit cards. We can also invoice corporate and government clients. If you want to discuss payment options, please contact our team at issr.education@uq.edu.au.
Related courses
This course is part of the Social Research Methods suite. There are 11 courses within this suite – see the other related courses below:
- Social Research Methods 1 – Gathering and Analysing Qualitative Data
- Social Research Methods 2 – Evaluating Social, Health and Human Service Programs
- Social Research Methods 3 – Social Cost-Benefit Analysis
- Social Research Methods 4 – Longitudinal Data Analysis
- Social Research Methods 5 – Data literacy, storytelling and influencing decision-makers
- Social Research Methods 6 – Survey Design
- Social Research Methods 7 – Principles of Research Design
- Social Research Methods 8 – Introduction to Quantitative Data Analysis
- Social Research Methods 9 – Regression Analysis
- Social Research Methods 11 – Factor Analysis
Contact
Institute for Social Science Research
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