Business Analytics Essentials (BAE)

“Every business is an analytics business, every business process is an analytics process and every person is an analytics user” – Gartner

Organisations are beginning to embrace business analytics, with IT and the business partnering to derive maximum value from their data. By 2020, data will digitalize 80% of business processes and products. Operation processes will become digitalized through machine learning. As data mining and business intelligence tools advance, more decisions will be made for your company and they will be based less on personal analysis and more on algorithms, which Gartner is calling automated judgment.

Course Information

  • Duration: 4 Day / 32 Hours
  • Certification:Participants will be awarded a Certificate of Competency in Business Analytics Essentials (BAE) upon meeting the requirements and passing the examination.
  • Who Should Attend: Aspiring Data Scientist, Data Analyst, HR Analyst, and Anyone interested in pursuing a career in the areas of Business Analytics / Data Analytics and would like the opportunity to learn in a supportive and encouraging environment.

Course Objective

Business Analytics Essentials (BAE) is a 4-Day program designed to allow participants acquire the essential knowledge on how to use business analytics to make better business or organisational decisions.




Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Business Analytics Essentials (BAE) based on the syllabus covered

Module 1 Introduction to Business Analytics

  • Concepts of Business Analytics
  • Importance and advantages of Business Analytics

Module 2 Different Types of Analytics

  • Predictive Analytics, Descriptive Analytics, and Prescriptive Analytics Text Analytics and Web Analytics
  • Different Application of analytics method

Module 3 Data / Information Architecture

  • Data / information architecture
  • Data Warehousing
  • Business intelligence
  • Application of Analytics in an Organisation
  • Case Studies

Module 4 Data Mining for Business Analytics

  • Fundamentals of Data Mining
  • Objectives of Data Mining
  • Key aspects of Data Mining

Module 5 Data Mining Process

  • Concepts of KDD
  • Various models in Data Mining
  • Data Mining Model vs Statistical Model
  • Data Mining Processes

Module 6 Data Mining Techniques

  • Supervised Machine Learning Models
  • Unsupervised Machine Learning Models
  • Statistical Models
  • Regression Models
  • Clustering and Predictive Analytics

Module 7 Data Mining Tools

  • Tools for Data Mining
  • Data Mining Software Tools Standards
  • Advantages and Disadvantages of Respective Tools

Module 8 Hands-On Practical using R-Tool

  • Introduction to R
  • Features of R
  • Exploration of Analytics Use Cases with R

Business Analytics Essentials (BAE) involves rigorous usage of real-time case studies, hands-on exercises and group discussion