Interested in becoming a big data professional? Today, it is one of the hottest career specialisations in the world.
This two-day, hands-on workshop trains you to become a data analyst and in preparation to become a data engineer. You will cover among other areas, analytics lifecycle, dashboard, semantic model management, metadata management, consolidating and cleansing data from multiple sources.
Suitable for working professionals who may or may not have a quantitative background and are considering a career in big data, or need to work extensively with big data.
If you have completed Fundamentals of Data Analytics within the last three months, you will only need to attend the second day of this workshop and pay half-rate. For exemption, please write to firstname.lastname@example.org
Upon satisfactorily completing the course, you will receive a certificate of participation from Fusionex and BFM-Edge Business School.
- Learn the application of big data in business intelligence
- Acquire a foundation in data analysis and data management
- Learn the technical terms used by specialists
Listed on the London Stock Exchange, Fusionex is a multi-award winning international provider of software solutions, specialising in Analytics, Big Data, the Internet of Things (IoT), Artificial Intelligence and Deep Learning. With offices in Asia, Europe and the US and currently one of the largest ASEAN-grown ICT companies by market capitalisation, Fusionex has a track record in serving blue chip clients across the world.
Full Price (inclusive GST)
Member Price/Early Bird Price (inclusive GST)
Whether you are an entrepreneur or professional, join our community of learners to get these benefits:
1. Mentoring by experienced business owners and industry experts (nominal commitment fee applies)
2. Discounts for almost all BFM-Edge Education programmes including talks
3. Access to special events organised by BFM-Edge or BFM Media
Fee per year is RM250.00 + GST
Membership is optional.
Early Bird Deadline
13 May 2017 (Saturday)
18 May 2017 (Thursday)