Coding in R for HR: A Quick Guide to Learning to Code, and Living to Tell the Tale
Career
Presentation
Universal
30 minutes
Sergio García Mora
SME People Analytics
Data 4 HR
R is one of the most popular languages in Data Science, and typically associated with machine learning concepts, algorithms, and statistical analysis. However, R offers multiple solutions to the daily HR practice, like report automation, dashboards, and making presentations with data, saving time and gaining precision.
In this presentation we will talk about some barriers when learning to program in R and how to overcome them, myths, and some of the opportunities that this language offers to simplify our work.
Career
Coding in R for HR: A Quick Guide to Learning to Code, and Living to Tell the Tale
BI, Reporting and People Analytics practitioners. Anyone interested in developing Data skills
The challenge:
- Dealing with multiple sources of data (aka Excel files)
- Analysing all kinds of data
- Sharing and reproducing analysis
- Starting on your path into Data Science and Predictive Analytics
This session will explore:
- The multiple possibilities R has to offer to daily HR tasks
- The different kinds of analysis that are possible within R
- Different packages for reporting, presentations, and dashboards
- The power of open-source community, R User Groups, and free and high-quality sources to learn from.
Key takeaways:
- Know what HR can do using R for specific analysis, reports and daily tasks
- Find communities and sources for learning to code
- Have fun coding.
Share this session:
I am SME for People Analytics at Data IQ, founder of Data 4HR (a People Analytics consultancy project), and founder of the Club de R para RRHH, a community for Spanish-speaking professionals.
I am Professor in the postgraduate course of People Analytics, and of the People Analytics subject in the Business and Social Analytics Degree, both from ITBA.
My value is finding business problems so that HR provides solutions based on data. Due to my HR experience and knowledge of Data Mining, I’m an excellent “Data Translator”, making communication among diverse teams much clearer and more fluid.
