Ukraine, Lviv

Data Visualization

when 10 July 2016 - 23 July 2016
language Ukrainian
duration 2 weeks
credits 0.5 ECTS
fee EUR 300

This course provides basics of data visualization in R & Python. Course outline: Grammar of Graphics. Principles of information design (coding information through color, size and area, choosing right chart type etc.). Overview of plotting libraries in R & Python. Creating charts and maps in R & Python.

Course topics
Grammar of Graphics, Data Visualization, Plotting, Mapping

Course tools
R (dplyr, tidyr/reshape2, ggplot2, rbokeh, ggvis, leaflet), Python (pandas, matplotlib, bokeh, seaborn, ggplot, plotly).

Prerequisits
Basics of R & Python (reading data from source, data manipulation – select, filter, group_by, summarise etc.)

Course leader

Mr. Andriy Gazin
Data Journalist & Analyst at Texty.org.ua

Former head of analytics and infographics department at Korrespondent (2010-2014) and Novoe Vremya (2014-2015) weekly magazines. Currently working as a data journalist and analyst for Texty.or

Target group

This course is targeted to bachelors, masters, PhD students, lecturers and specialists in Computer Science Bioinformatics and Computational Biology, Statistics, Mathematics, Electrical and Computer Engineering, Chemical and Biological Engineering, Industrial Engineering, Material Science and Engineering, Neuroscience, Human-Computer Interaction, Psychology, Business and related discipines

Credits info

0.5 ECTS
This course is a part of Lviv Computer Science Summer School (whole school's credit cost is 3 ects)

Fee info

EUR 300: This course is a part of Lviv Computer Science Summer School (whole school's cost is 300 EUR)
EUR 350: This course is a part of Lviv Computer Science Summer School (whole school's cost is 350 EUR)