KICKSTART: Analysing
and Investigating
Cybersecurity Incidents with R

Tuesday, 30 April 2019
6 PM – 9 PM
Universitas Prasetiya Mulya - BSD Campus
BSD City Kavling Edutown I.1
Jl. BSD Raya Utama, BSD City
Pagedangan, Tangerang, Banten 15339
Rp. 100.000,-

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.

SYLLABUS

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

Schedule

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

Instructor

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.

Partners

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.

KICKSTART: Analysing
and Investigating
Cybersecurity Incidents with R

Tuesday, 30 April 2019

Universitas Prasetiya Mulya - BSD Campus

Rp. 100.000,-

Course Summary

SYLLABUS

Schedule

Instructor

Samuel Chan

Partners

Workshop Receivables:

Workshop Lecturer’s Notes

Highly-accelerated Learning

Quality Learning Environment

Kickstart Series

Past Workshops in this Series:

Hands-on Coding

Working through real-life examples

Demo and Presentation

Learn-by-building philosophy

KICKSTART: Analysing and InvestigatingCybersecurity Incidents with R

Course Summary

SYLLABUS

Schedule

Instructor

Samuel Chan

Partners

Workshop Receivables:

Kickstart Series

Past Workshops in this Series:

Hands-on Coding

Working through real-life examples

Demo and Presentation

Learn-by-building philosophy

KICKSTART: Analysing
and Investigating
Cybersecurity Incidents with R