Join Dr Lau's 09 -11 March Data Science Training
Becoming a Data Scientist is not easy. It involves fundamental knowledge like statistics, data wrangling, to visualization. You will need to understand the techniques to analyze data and communicate the results.
Use your Skillsfuture credit for this boot camp, it's a hands-on guided course for you to learn the concepts, tools, and techniques that you need to begin a data science career. It covers concepts from data science to big data, and the processes of gathering, cleaning and handling data. The course achieves a balance between theory and practical, using case studies as references and instructor-led lab practicals. Upon completion, you will be able to perform basic data handling tasks, collect and analyze data, and present them using industry standard tools.
Dr. Lau Cher Han is a Data Scientist and Full-Stack Developer who base in Melbourne, Australia. With 15 years of experience in database technologies, data mining, and analytics under his belt, Dr. Lau’s background includes problem-solving, apps development and research experience in some of the top-notch tech companies around the region.
Dr. Lau worked as a lead research developer at the Microsoft e-Research Center, where he built a sensor network platform that utilizes mobile phones to record audio signals for detecting rare bird species and koalas. Dr. Lau then joined the Australian Institute of Future Environments to build a Greenhouse Gas Analysis System, which collects, analyzes and publishes weather and environment data automatically to the cloud. He then co-founded and served as the CTO for JoinHappen.com, where he designed the technology blueprints and drove product development. Dr. Lau also provides training to universities, as well as various industry corporations such as Fusionex, HP, and Intel, to upskill their staff with up-to-date technologies.
Introduction to Data Science
Data Science Workflow
Structured Query Language (SQL)
Introduction to Python
Advanced Data Handling
Exploratory Data Analysis
Introduction to R
Final Mini Data Science Project