Name: Tidy up your data science workflow with the tidyverse
Start: 2019-12-03T18:30:00+01:00
End: 2019-12-03T20:00:00+01:00
Location: UNIL - Génopode

• Description •
The tidyverse is a coherent system of packages for data manipulation, exploration and visualization that share a common design philosophy.
There are core tidyverse packages that you're likely to use in everyday data analyses, and these include:
- ggplot2
- dplyr
- tidyr
- readr
- purrr
- tibble
- stringr
- forecats
We'll be learning a bit about each of these core packages while demonstrating their functionalities!

• Speaker •
Mine Çetinkaya-Rundel
Mine is a Senior Lecturer in the School of Mathematics at University of Edinburgh and Data Scientist and Professional Educator at RStudio. Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She is a former R-Ladies RTP and a current R-Ladies Edinburgh organizer.

• Agenda •
18h15 - 18h30 Arrival (+ bring any questions/problems you might have)
18h30 Presentation
19h30 Apéro + Networking

• Prerequisite •
Basic knowledge in R, beginners are welcome!

Ninon Mounier

LMGD

R-Ladies Lausanne

R-Ladies

R-consortium

Technology

Open Source

Courses and Workshops

Predictive Analytics

Data Analytics

Professional Development for Women

Big Data

Women's Empowerment

Business Intelligence

Women in Technology

Data Science

Programming in R

Statistical Computing

Data Visualization

Tidy up your data science workflow with the tidyverse

UNIL - Génopode

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R-Ladies Lausanne

Tidy up your data science workflow with the tidyverse

R-Ladies Lausanne

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