FUNDED COURSES

Computation Modelling for Business Intelligence Pro

🕐 5 Days (SSG) | 7 Days (HRD Corp)

Funding Support Available

SkillsFuture Singapore (SSG)
Human Resource Development (HRD) Corporation Claimable Course

For eligibility criteria, please refer to MySkillsFuture website or HRD Corporation website.

This programme is created specifically for learners who wish to identify and utilise appropriate statistical algorithms and data models to test hypotheses and derive patterns or solutions.

What You'll learn

Introduction to Computational Modelling for BI Professionals

Introduction to advanced computational methods

Discussion of analytic use cases

Characteristics of statistical algorithm and data model requirements

Assumptions and limitations of computational methods

Technology Strategy

Trends in analytic development and production platform

Technology strategy for the development and operation of analytics

Advanced Computational Modelling Development

Introduction to Statistical Modelling

Introduction to Machine Learning Modelling

Introduction to Time Series Forecasting Modelling

Advanced Computational Modelling Coding

Data Processing

Data Training and Testing Split

Data Sample Balancing (optional)

Model Setting

Model Result Report

Potential Risks of Analytics Models

Unintended outcomes produced by analytical models and their potential reasons

Data Science ROI

Quantify Data Science impact on Business

Total Cost of Investment in Data Science project

Analytics as a Service

Service menu of Data Analytics team

Capability and capacity of Data and Data Science team

Analytics User Interface Design

Introduction to Data Storytelling

Alignment of reporting needs and choice of metrics and visualisation type

Workshop: UI Design for Dashboard, Diagnostics Analysis, Forecasting UI Design with Power BI

Data model blueprint development for UI enablement

Document of data required for UI enablement

Development data model blueprint for UI automation & enablement

Apply Now

Keen in this program? Early registration is encouraged.

Instructor

MS CATHERINE KHAW

Data & Analytics Enthusiast
Evangelist. Enabler. Educator.
TTAB Deputy General Secretary

Catherine is a passionate advocate for data and analytics literacy, and she strongly believes in the power of data to have a positive impact on businesses and organisations. Her mission is to uplift the data fluency of individuals and organisations, helping them harness the opportunities presented by digitisation and big data to improve their business impact.

In envisioning a world where individuals and organisations truly comprehend the impact and potential of data in their professional lives, Catherine emphasises the significance of effective data management and utilisation. It is crucial for individuals and organisations to learn to manage and leverage data without feeling overwhelmed, as she firmly believes that everyone should possess a fundamental understanding of data science and its management.

National University of Singapore – Bachelor of Business Administration (B.B.A.), Marketing/Marketing Management
City University of Hong Kong – Master of Arts (M.A.), Quantitative Methods for Business