• Predictive Analytics for Fintech and Banking Practitioners

Predictive Analytics for Fintech and Banking Practitioners

From: 16 July 2018
To: 01 August 2018
Time: 10:30 - 14:30
Prudential Tower, Bougenville room 17th fl.
Jl. Jend. Sudirman Kav. 79
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  • Summary

Predictive analytics encompasses a powerful set of methods that uses all the available data an organisation can gather to answer key business questions. By enabling financial institutions to make data-driven business decisions, predictive analytics helps drive profit and increase efficiency.

The Learning Journey:

This course will cover the practical considerations for using predictive analytics in your organisation through the six stages in the predictive modeling process:

  • Business Understanding – how to define problems to solve using predictive analytics
  • Data Understanding – how to describe the data
  • Data Preparation – how and why to create derived variables and sample data
  • Modeling – the most important supervised and unsupervised modeling techniques
  • Evaluation – how to match modeling accuracy with business objectives to select the best model
  • Deployment – how to use models in production

Course Objective:

Transform your organisation into an innovative, efficient, and sustainable business of the future through a practical grounding in predictive analytics and its business implications and applications:

  • Which transformations of data should be used for which algorithms?
  • Which algorithms match what kinds of problems?
  • How does one measure model accuracy in a way that makes sense for the business?
  • How does one avoid being fooled with predictive models, thinking they are behaving well when in reality they are brittle and doomed to fail?

Course curriculum:

Learn how to support the Predictive Analytics in your organisation and develop a strategic roadmap for real-world application as you follow your learning path through the modules of this course:

  1. Transforming from Descriptive to Predictive Analytics
  2. Data Science – Life Cycle
  3. Data Preparation Process
  4. Data Cleaning and Munging
  5. Supervised and Unsupervised Machine Learning
  6. Using Multiple Algorithms
  7. Deploying Model into applications
  8. Case Study - Clustering
  9. Case Study - Credit Scoring
  10. Case study - Customer Churn
  11. Case Study - Fraud Detection
  12. Case Study - Customer Acquisition

Registration Closes:

12 July 2018

Course Starts:

16 July 2018


3 weeks (6 sessions in-class and 2 sessions coaching clinic)


3 sessions/week

4 hours/session

Every Monday to Wednesday at 17.30 – 21.30



Bougenville Room, BDO Indonesia

Prudential Tower 17th Floor

Jl. Sudirman Kav 79 Setiabudi Jakarta



  • Course materials e-book (Join Our Learning Management System)
  • Course Kit including 4G Modem
  • Meal every course
  • Free Private Coaching Clinic


Class Size

10-15 per class



IDR 16.500.000 (Normal Price)

IDR 13.200.000 (Early Bird, before 4 July 2018 and group)


Account Number:

Bank Permata, Cab. Prudential Tower

No Rek: 7016 42023

A.N PT BDO Insan Dinamis Indonesia


BDO Digital Science Experts:

  • Heru Wiryanto

AI Technology Advisor BDO Indonesia

  • Aswin Januarsyaf

Psychotechnology Advisor BDO Indonesia

  • Faisal Wiryakusuma

AI Technology Advisor BDO Indonesia





Contact our course consultants:

Natalie (WA): 0857-1002-0682

Email: [email protected]


Reini (WA): 081287608686

Email: [email protected]