Past Events

Presentations
25April 2019 Hannah Frick

Good Practice for R Packages
Hannah Frick

In this presentation, Hannah explains how to use the {goodpractice} package which offers advice on what to avoid when building an R package and suggestions on code formatting, structure and many other great features.

Slides

Code
25April 2019 speaker name

Collecting clean and usable data for better reliability modelling
Carles Campos

Carles is a Data Scientist and founder of RealiableDynamics, a computer software company that develops basic applications with modern technologies specialising in reliability engineering and predictive maintenance.

Slides
26September 2019 Ruben Guerrero Ramirez

Understanding behavioural data with PCA in R
Rubén Guerrero Ramírez

Rubén is a Data Scientist with broad knowledge of applied statistics, machine learning techniques and programming skills such as Python, R, SQL and SPSS. He is experienced in mentoring others and teaching concepts of Machine Learning, programming and statistics. He also had the opportunity to consult companies about their Data Analysis strategy.

Slides

Code
26September 2019 Christopher Collins

Moving Projects into Production
Chris Collins

Chris is a Data Scientist working at Glovo, a global food delivery startup with headquarters in Barcelona. Whilst currently working on models for customer retention, Chris is primarily interested in the process of creating reliable 'data products' which can be used in high-impact business tasks.

Slides

Code
Workshops
25April 2019 Nicolas Attalides

Introduction to Shiny
Nicolas Attalides

This workshop covers the basics for building a Shiny app such as create a user interface and server scripts, specify what the inputs and outputs will be as well as explore widgets and reactivity and finally how to share your app.

Slides

Code
26Sepember 2019 Nicolas Attalides

Introduction to Data Manipulation
Nicolas Attalides

This workshop covers the basics for doing data manulipulation in R. You will learn to use the “verbs” with {dplyr} then improve your code workflow with {magrittr} and some imple string manipulations using {stringr}.

Slides

Code