Serious Play for Predictive Analytics: What Works, What Doesn't & Why Training in Republic of the Philippines

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

This course will prepare analytic practitioners and functional managers to make sense of predictive modeling and take control of the analytic process. We’ll introduce the foundation for data-intensive analytic projects that deliver insight, clarity, confidence, and actionable decision support.

Live demonstrations will illustrate how organizational practitioners can effectively maneuver the natural messiness of advanced analytics. Attendees will realize that true impact with predictive analytics has far more to do with the overall management of a project team and strategic process than with the tactical skills of a data scientist.

If you are a business or public sector practitioner or leader seeking to propel your organization’s analytic maturity and put predictive analytics to work for measurable gain, then this session is designed for you.

There are no prerequisites for this course.

  • IT executives and big data directors
  • Line-of-business directors and functional managers
  • Data scientists
  • Technology planners
  • Consultants

  • Develop a business-aligned strategy for applying high-value data-driven decisions
  • Identify, qualify and prioritize viable and actionable analytic opportunities
  • Convey a standardized process development model to implement across your team
  • Acquire both tactical and strategic skills required to stand out in the analytics practice
  • Learn why most analytics projects fail and the main pitfalls to avoid
  • View a standardized process methodology for predictive analytics
  • Leave with resources, contacts and plans to reduce your project preparation time, costs and risks


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Republic of the Philippines facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
20 August 2024
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
21 August 2024
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
02 September 2024
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
04 September 2024
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
14 September 2024
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
21 September 2024
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
23 September 2024
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
25 September 2024
Quezon City, Manila, Davao City
1 Day
Serious Play for Predictive Analytics: What Works, What Doesn't & Why Training Course in Philippines

The Philippines, officially the Republic of the Philippines, is an island country of Southeast Asia. The island country is located in the western Pacific Ocean, and consists of approximately 7.640 islands. And those islands are categorized under three main geographical divisions: Mindanao, Luzon and Visayas. Manila is the capital city of the Philippines and the resort island in the Western Visayas region, Boracay is one of the most popular vacation spots.

The climate of the Philippines is tropical and monsoonal. From May to October, rain-bearing winds blow from the southwest while drier winds come from the northeast from November to February. That's why the best time to visit the Philippines is during the dry season between November and April.

Discover a wealth of IT courses tailored to your needs, encompassing programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Let our experienced instructors guide you through hands-on training and offer valuable insights at any location of your preference within Philippines.
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