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An Online Data Science Series Workshop


This 4-day online workshop is a beginner-friendly introduction to visualizing geospatial data using R. By learning how to work with spatial datasets and vector, you can create a data-driven approach for your business.
Throughout the online course, we will provide participants with rich interactive experience. One Instructor and two Teaching Assistants will help participants troubleshoot or help with any difficulties encountered by participants.

NOTES: This workshop will be delivered in Bahasa Indonesia.

Learning Outcomes

Upon completion of this workshop, you will be able to:

Work with the R language and open source packages for data cleansing and manipulation process.
Work with geospatial data and perform a visual exploratory and explanatory analysis.
Build an analysis dashboard using R reporting tools to communicate business insights.


Tresna Tanesya

Tanesya is a Senior Data Science Instructor at Algoritma Data Science School, she has exceptional skills in extracting insights from data and using data visualization to communicate ideas. Tanesya has more than 1.000 hours of teaching experience and involved in numerous consultative data science training for our clients, to name a few:

  • Bank Central Asia
  • PT. Sigma Metrasys Solution
  • PT. Sigma Cipta Caraka
  • Tokopedia
  • Yogya Group


8 September – 11 September 2020 | 18.30 – 21.30 WIB

Time needed: 4 days.

  1. R Programming Basics

    This is an optional material that will be delivered on the first day of the workshop. You can skip the first day if you have strong R programming basics. What you will learn on the first day:
    * R and R Studio.
    * Basic data types and structure.
    * Working with lists and tabular data.
    * Data wrangling in R.

  2. Building Indonesia’s Static Maps

    * Retrieving Indonesia’s spatial vector from an open-source provider.
    * Working with the spatial polygon in R.
    * The grammar of graphics for geospatial data using `ggplot2`.
    * Enhancing map plots for richer visualization.

  3. Creating an Interactive Map

    * Using `leaflet` – a JavaScript API for creating interactive maps.
    * Adding markers and colors in `leaflet`.
    * Building various geospatial analysis graphics: Heatmap, Choropleth, and Connection Map.

  4. Publishing Your Geospatial Analysis

    * Explore various publication options using `rmarkdown` versatile output.
    * Create a compelling and easy-to-build dashboard using `flexdashboard` package.
    * Apply your geospatial analysis for various industries.


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