2019 is a great year to learn data science. There has been an enormous growth in data science-related jobs to match the equally relentless pace of growth in big data adoption. Dresner Advisory Services’ Market Study 2017 survey shows a year by year increase in big adoption just north of 50 percent and Glassdoor puts Data Scientist at the top of the list of 50 best jobs in America at the end of 2018.
In this Workshop, in-house course producer Samuel will bring to the stage his wealth of experience in building data science teams and cultivating excellence. This includes the tools and infrastructure, applied processes, learning management and accompanying technology for analytical teams. From his time staying in China and Japan as a consultant to his role as developer-trainer in the last 2 years, we will learn about his own journey, and what challenges lie ahead of budding data scientists.
SYLLABUS
- A review on the current landscape of Data Science
- It's more than R and Python Running on a local notebook
- Serve your machine learning model
- Build your first product
- Live Demo
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.
