Digital Method of the Month. Statistics: How to pick the right method
Hybrid
Have you seen a presentation on digital research methods and wondered if they are applicable to your work? Are you interested in learning new digital skills but unsure where to start?
This is the right place for you!
The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research.
Each month, we select a method, and we have an honest and practical discussion on what it takes to learn and master it. How much time will it take to get the basics? What are the software options available? What are the most common pitfalls? Where can you find more info on the subject?
The method of this month is Statistics. A big part of analysing datasets hinges on statistical principles. From descriptive statistics to more advanced Inferential statistics models come around to learn how you can master it and how to pick the right methods depending on what are your research questions are.
This conversation will be led by Rhys Davies.
After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows.
More details about Data Surgeries.
Those who have registered to take part will receive an email with full details on how to get ready for this course.
If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.
Level
This is a beginner-friendly course. No prior knowledge of the topic is required/expected, and the trainer will cover the basics of the method.
Learning Outcomes
Become familiar with the main concepts of Statistics
Understanding possible pitfalls
Understand when to pick one method or another
Skills
By attending this course, you will familiarise yourself with the following skills
Understanding the uses and limitations of Statistical Methods
Choose the right method depending on the research questions
Explore More Training
- A Gentle Introduction to Causal Inference
- Data Analysis Workflow Design
- Digital Method of the Month: Machine Learning
- Explainable Machine Learning (XAI)
- Foundations of Machine Learning
- Getting Started with Bayesian Statistics
- Getting Started with Data Analysis in Python
- Getting Started with Regression in R
- Linear Mixed Effects Modelling
Return to the Training Homepage to see other available events
Room 4.35, Edinburgh Futures Institute
This room is on Level 4, in the North East side of the building.
When you enter via the level 2 East entrance on Middle Meadow Walk, the room will be on the 4th floor straight ahead.
When you enter via the level 2 North entrance on Lauriston Place underneath the clock tower, the room will be on the 4th floor to your left.
When you enter via the level 0 South entrance on Porters Walk (opposite Tribe Yoga), the room will be on the 4th floor to your right.
