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Home » upcoming programs » BIG DATA WITH ANALYTICS USING R – FOR MANAGERS 9-13 May 2022

BIG DATA WITH ANALYTICS USING R – FOR MANAGERS 9-13 May 2022

Business survives on their ability to plan for the future which is uncertain. We cannot definitely know what is there in store for us in future but thanks to predictive technology we can now make an attempt to understand future. However, the problem that has now emerged is how to use the data for such analysis particularly when the data volume is extremely high. Big data brings in two kinds of problem – one involving storage technology and the other one analytical technology. This workshop focuses on the later and uses “R” as the platform to explains various tools and techniques that we can use for conducting predictive analytics. Since “R” is a community based effort not involving any purchase, the cost of implementation will be low.

After attending his workshop, you should be able to:

  1. Get introduced to “R” and how to install and use the same
  2. Recognise various techniques and tools required to conduct predictive analytics using “R”
  3. Identify the scope of applying predictive analytics in specific functional areas
  4. Understand the scope and limitations of using a predictive model using “R”
  5. Design predictive analytics models for your own organisation using “R”
  6. Maximum 18 hours of CPE credit in the field of Management Advisory Services, may be awarded subject to completion of workshop requirements.

WHO SHOULD ATTEND

Decision makers from any industry, NGO or government agency who are interested in developing the skills needed to develop big data systems and analyze data using analytics. Executive directors and managers who are responsible for driving the organization’s direction, mission, policies, and major programs should attend.

  • Heads of Department
  • Research & Statistics
  • Actuaries
  • IT
  • Human Resources
  • Business Development
  • Strategic advisors & Senior Managers
  • Project Directors & PMOs

Workshop timing: 08:45am to 12:30PM Singapore Time (GMT +8)