Applied Statistics and Data Science Group
|Reproducible research PART IV: Building Shiny applications and dashboards||
Some specific types of analyses that are intended to be repeated each time new data arrive can be automated. Building interactive dashboards is made possible via the Shiny package in R.
In this webinar we will learn the foundational steps in building interactive web applications:
|8 December 2022 - 10:00am||Academic, Research|
|Fundamentals of Statistics III: Two group comparisons and ANOVA||
This is the 3rd workshop in a 5-part series focused on the fundamentals of statistics.
In this webinar, you will learn how to gain insight from a random and unbiased data sample of a population:
|19 January 2023 - 10:00am||Academic, Research|
|Fundamentals of Statistics IV: Correlation and Linear Regression||
This is the 4th workshop in a 5-part series focused on the fundamentals of statistics.
|26 January 2023 - 10:00am||Academic, Research|
|Fundamentals of Statistics V: Intro to Mixed Effects Models||
This is the last workshop in a 5-part series focused on the fundamentals of statistics.
This webinar is critical for understanding when linear regression models aren’t applicable and how to model dependent data.
Topics that will be covered are:
|2 February 2023 - 10:00am||Academic, Research|
|Advanced statistical modeling: Introduction to Non-linear analysis||
In this webinar we will discuss the foundational concepts behind non-linear modeling, when should these models be applied and how to implement them correctly. We will show how this complex methodology can be applied in a correlated data example. While complete R code is provided for this analysis, the focus of this webinar will be on the statistical methodologies.
|23 February 2023 - 10:00am||Academic, Research|
|Advanced statistical modeling: Introduction to Machine learning||
In this webinar we will introduce basic concepts behind the machine learning algorithms, their difference from the statistical methods and the most common type of problems that can be tackled with machine learning algorithms.
In this webinar you will learn about:
|2 March 2023 - 10:00am||Academic, Research|
|Free Statistics Consulting||
The Statistical Opportunity for Students (SOS) program provides one hour of free statistical advice, based on a submitted project description, to any UBC graduate student. Visit the SOS program page for full details. The SOS program is made possible through funding support from the Office of the Provost and Vice President, Research and Innovation.