Data Analytics on Small Budget | Dr Lau Cher Han | Peatix tag:peatix.com,2011:1 2021-11-15T09:40:15+08:00 Peatix BFM Edge Education Sdn Bhd Data Analytics on Small Budget | Dr Lau Cher Han tag:peatix.com,2018:event-392685 2018-08-16T19:00:00MYT 2018-08-16T19:00:00MYT A mini workshop on low-cost data analytic tools that companies can use. Are you from a startup or SME that is using data to understand what customers really want? Or are you a talent keen to pursue a career in data analytics or want to brush up your programming skills? Join us for an easy workshop on free and cheap data analytic tools, and get all your questions answered about big data.Venue partner is Maybank Innovation Centre.Agenda: 7:00pm: Registration 7:15pm: Workshop 9:00pm: Q&A You may also be interested in our related course for business users - Data Science JumpstarterFacilitator: Dr Lau Cher Han Chief data scientist, keynote speaker and consultant in data science, machine learning and big data. His work involves major companies, organizations, and government agencies across Australia, Malaysia, Taiwan and other ASEAN countries. He is also Johor state advisor for Smart City and Big Data initiatives. He has trained and advised many of the organizations including Intel, Standard Chartered, and Jabil. Also been invited as keynote speaker in many of the data science and big data events, such as Microsoft Azure Global Bootcamp, Johor Corporation CIO circles. As the chairman of the expert evaluation panel in Malaysia Qualifications Agency (MQA), Dr Lau provides accreditation to ensure the curriculum of universities meets the modern trends and industry requirements. Universities and government agencies including MDEC and state governments also appoint him as a member of Industrial Advisory Panel to develop national strategies and data science blueprints. Current focus is on helping clients to grow their data science teams, gain insights by combining structured and unstructured data, and implementing data analytics and big data strategies, preparing clients for the future big data economy.