Course Outline
Day 1:
- overview of R programming
- introduction to data visualization
- scatter plots and clusters
- the use of noise and jitters
Day 2:
- other type of 2D and 3D plots
- histograms
- heat charts
- categorical data plotting
Day 3:
- plotting KPIs with data
- R and X charts examples
- dashboards
- parallel axes
- mixing categorical data with numeric data
Day 4:
- different hats of data visualization
- disguised and hidden trends
- case studies
- saving plots and loading Excel files
Requirements
- Basic R or Matlab knowledge
- General understanding of trends in data, time series graphing
Testimonials (7)
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Course - Data Analysis with SQL, Python and Spotfire
Professional and very practical, usuefull in a daily work
Jozefin Rékasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
It covered the areas i said i was interested in before the course: data relationships, using python script. Connecting to databases will be covered in the advanced module.
Cristian Tudose - SC Automobile Dacia SA
Course - Introduction to Spotfire
L'adaptation parfaite à mon besoin
Thomas - AXA Wealth Services
Course - TIBCO for Developers
Spora dawka naprawdę praktycznej wiedzy
Emilia - Bank Polska Kasa Opieki Spółka Akcyjna
Course - Monitoring with Grafana
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
We were using road accident data for practicals