KICKSTART:
Gentle Introduction to Developing Modern Web Apps in R & Python
Learn to productionize your data science work by picking up complementary skills in web application development
Schedule
Course Summary
The workshop aims to provide a beginner-friendly introduction to packaging your data science work into a user-friendly, modernly-themed web analytics application.
Corporate consultant and course producer Samuel Chan has worked for a number of public-listed company prior to his role at Algoritma. His involvement has always heavily centered around product development, from building chatbots for companies to developing cloud-based products. In this workshop, he will walk us through his favorite tools, workflow, and productivity tips:
- Recommendations on productionizing R code
- The Shiny framework for data scientists
- Using Python’s web frameworks for application development
- TensorFlow as a web service
- Cloud deployment options for R- or Python-based applications
- Production concerns: security, uptime, and continuous integration
- Productivity tools for real-life data science: Git, IDE extensions, Virtual
- Environments vs Docker
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.
