Business Analytics


Take the next step in learning business
analytics and be on your way to become
an expert in the field

5 Days / 40 Hours / 10 Modules
+ 3 month coaching + 1 year eLearning access

Get in Touch With Us
Business Analytics

Expert Certification

Take the next step in learning
business analytics and be on
your way to become an expert
in the field

5 Days / 40 Hours / 10 Modules
+ 3 month coaching + 1 year eLearning access

Take the next step in learning business analytics and be on your way to become an expert in the field

The Business Analytics Expert Certification provided by IABAC is globally recognised, and is concerned with the practical application of business analytics concepts to industrial functions. It covers concepts such as Statistics, Machine Learning basics, Decision modelling, Forecasting and Clustering.
Key Learning Outcomes

Upon completion, participants should be able to demonstrate each of the following outcome:-

  • Build a strategic plan of how your business (or your employer's business) can leverage data for superior performance
  • Be able to understand how to measure business performance
  • Become familiar with modern business analytics techniques
  • Understand stakeholder mapping
  • Learn about end-to-end process mapping
  • Develop an understanding of the H2R, R2R, S2P , O2C end-to-end processes in a corporation
  • Define metrics
  • Perform benchmarking
IABAC Exam Information
Course Modules Covered in the Business Analytics Expert Certification program
Module 1 - Business Analytics Foundation

Business Analytics Foundation

  1. Business Analytics Overview
  2. Evolution of Business Analytics
  3. Data Driven Decision process
  4. Classification of Business Analytics
  5. Business Analytics Modelling
Module 2 - Statistics


  1. Statistics Overview: Descriptive and Inferential
  2. Basic Terminologies in Statistics
  3. Cochran’s min sample size
  4. Types of Data: Nominal, Ordinal, Discrete and Continuous
  5. Random Sampling: Simple Random, Stratified, Cluster and Systematic
  6. Biased Sampling Techniques
  7. Exploratory Data Analysis
  8. Measures of Central Tendencies: Mean, Median and Mode
  9. Data Variability: Range, Variance and Standard Deviation
  10. Distributions: Normal Distribution/ Gaussian Distribution
  11. Histogram, Standard Score / Z - Value
  12. Empirical Rule
  13. Normality Testing: Skewness and Kurtosis
  14. Correlation, Direct and Indirect Correlations
  15. Pearson Correlation Coefficient
Module 3 - Data Strategy

Data Strategy

  1. Organisation Data Architecture
  2. Structured, Semi Structured and Unstructured Data
  3. Measures, Controls and Quality Data
  4. Data Warehouses and Data Lakes
  5. Data Strategy aligned with Business Analytics
Module 4 - Machine Learning Overview

Machine Learning Overview

  1. Machine Learning as a tool kit for Business Analytics Analysis
  2. Machine Learning Algorithms types
  3. Application of Machine Learning for Predictive Analytics.
Module 5 - Optimization Models

Optimization Models

  1. Prescriptive Analytics with Low Uncertainty
  2. Mathematical Modelling and Decision Modelling
  3. Break Even Analysis
  4. Product Pricing with Prescriptive Modelling
  5. Building an Optimization Model
  6. Case Study 1: Network Optimization
  7. Assignment 1: Optimum Manufacturing Quantity
Module 6 - Predictive Analytics With Regression

Predictive Analytics With Regression

  1. Mathematics beyond Linear Regression
  2. Hands on: Regression Modelling in Excel
  3. Case Study 2: Decision with Regression Analysis
  4. Assignment 2: Design Marketing Decision board
Module 7 - Decision Modelling

Decision Modelling

  1. Prescriptive Analytics with High Uncertainty
  2. Comparing Decisions in Uncertain Settings
  3. Decision Trees for Decision Modelling
  4. Case Study 3: Decision modelling
  5. Case Study 4: Decision modelling with Monte Carlo Simulation
Module 8 - Visualization Tool: Tableau

Visualization Tool: Tableau

  1. Tableau Interface, Dimensions and Measures, Filter Shelf
  2. Distributing and Publishing
  3. Connecting to Data Source
  4. Connecting to Sources, Excel, Databases, pdf. Extracting and Interpreting Data
  5. Charts and plots with Super Store data
  6. Compound Plots: Stacked bar graph, heat maps
Module 9 - Forecasting and Clustering

Forecasting and Clustering

  1. Forecasting Time Series Data for Sales
  2. Clustering/ Segmentation
Module 10 - Project


  1. Implementing Business Analytics In An IT Enabled Company
Our Training Methodology
Program Key Highlights

40 hours of Remote Online Learning
Additional Coaching Hours
Live Hands-on Projects
Certified by International Body
Mentorship with Industry Experts
Designed for Beginners & Professionals
Program Benefits

Get Professionally Certified

Upon successfully completing this program, participants will be awarded the Business Analytics Expert Certification by International Association of Business Analytics Certification (IABAC).
This award is a validation to the efforts taken to master the domain expertise that will set you apart from your competition.
Be a part of the global network of data science professionals and join the community across sectors.
Get in Touch With Us Today!

This training program is suitable for anyone who intends to enter into the field of Analytics. This program is being conducted in Malaysia and can be joined by anyone, anywhere in the world remotely.
Program Fee

MYR 6800 per pax.
Funding price MYR 3700 per pax .

Funding Schemes for Companies who are claiming from their HRDF levy or from the MDEC MyWiT scheme.

Limited scholarships available for early self applying individual applicants.

Find out how you can qualify for a scholarship.

Enquire NOW on the various funding options available.

One-time fee. One year access to course materials and resources.

Please fill in the form and a Program Advisor will reach out to you. You can also reach out to us at or +60123661502
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