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What You Will Learn
Businesses today generate voluminous amounts of data. With increasing use of automation technologies, organizations’ digital data assets, through their end-to-end business process, will grow by an order of magnitude. Insights into a businesses’ underlying data can be covered with the help of appropriate analytics tools, techniques through organization, aggregation and analysis of the myriad data.

This course will cover the fundamental concepts of data, data organization and data cleansing to create datamarts and data warehouses. It will introduce tools and techniques for data exploration, explanation and analyses such as data modeling, visualization and storytelling in the context of business applications. The concept of predictive analytics will be explored through the CRISP-DM model, the predictive modeling process, testing and validation of predictive models and application of predictive analytics to different types of businesses.  

For more information on course, please click here.

Course Information At A Glance
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Application Period18 Apr to 9 Jun   2019
Course Date16 Jul 2019
Class Time9am to 6pm
Venue
Ngee Ann Polytechnic
Course Fees















Full course fee: $299.60

Singaporeans and Permanent Residents: $89.88
Singaporeans qualified for SkillsFuture Mid-Career Enhanced Subsidy: $33.88
Singaporeans and Permanent Residents qualified for Enhanced Training Support for SMEs*: $33.88
Singaporeans qualified for Workfare Training Support (WTS)**: $19.88

*Enter SME in the promo code during course application.
**Enter WTS in the promo code during course application.

Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review.

For more information on other subsidies, please click   here.
SkillsFuture Credit Eligibility
Eligible
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Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Entry Requirements
  • Professionals and managers who want to gain insights into the use of data analytics and predictive analytics for businesses