KICKSTART: Analysing
and Investigating
Cybersecurity Incidents with R

Course Summary

The workshop offers an introduction to exploratory data analysis in R through the lens of a cybersecurity research firm. In the 3-hour session, participants will learn about the various EDA tools and visualization techniques to dig deep into cybercrime trends and make the most out of what this rich statistical computing environment has to offer.


  • A primer on networking
  • Cyber crimes and data breaches
  • Security incidents recording
  • Using R to visualize cybercrime trends
  • Using R for exploratory data analysis on cybercrime
  • Building cybersecurity dashboards with R


  • Know-your-neighbors

    Registration and Networking
    17:30 – 18:00

  • Introduction to R programming language

    18:00 – 18:30

  • Cybercrimes and data breaches

    18:30 – 19:00

  • Using R to visualize cybercrime trends and for exploratory data analysis

    19:00 – 20:00

  • Building cybersecurity dashboards with R

    20:00 – 20:45

  • Q&A

    20:45 – 21:00


Samuel Chan

Machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide), a certified professional (certificates from Microsoft, MongoDB, Stanford University, John Hopkins University), and an experienced consultant that has worked with several public-trading companies from his time staying in China, Japan and Singapore.

Between 2017 and 2018, Samuel has trained and consulted with more than 20 companies around Indonesia and a regular guest speaker/trainer in a number of universities in Singapore and Indonesia. He is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies.


Workshop Receivables:

  • Workshop Lecturer’s Notes

    Including an e-course book (PDF) and/or HTML files.

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements. Snacks are included for evening workshops.

Kickstart Series

Workshops in our Kickstart series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and simple regression models.

Students are encouraged to bring along their laptop and download the course materials beforehand if they wish to follow along with the Code Along exercises. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.

Past Workshops in this Series: