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.

Upcoming Batches

  • Singapore: 23 to 26 Oct 2018, 26 to 29 Nov 2018 | Book Now
  • Bangkok, Thailand: 30 Oct to 2 Nov 2018, 11 to 14 Dec 2018 | Book Now
  • Johor, Malaysia: 23 Oct to 26 Oct 2018, 18 to 21 Dec 2018 | Book Now
  • Kuala Lumpur, Malaysia: 30 Oct to 2 Nov 2018, 19 Nov to 23 Nov, 11 to 14 Dec | Book Now
  • Penang, Malaysia: 23 Oct to 26 Oct 2018, 4 Dec to 7 Dec 2018 | Book Now
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.
Course Duration
32 hours / 4-Day
Course Outline
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: R and Python Software Tools

  • Introduction to R and Python
  • Features of R and Python
  • Exploration of Use Cases with R and Python
  • MODULE 9: Hands-On Exercise
    Pre-Requisite
    NA
    Examination
    Participants are required to pass an examination. This exam tests a candidate’s knowledge and skills related to Business Analytics based on the syllabus covered in the course
    Certification
    Participants will be recognized as a CASUGOL Certified Professional and awarded a Certificate of Competency in Business Analytics Essentials (BAE) upon meeting the requirements and passing the examination.
    Who Will Benefit from the Course
    Business Analytics Essentials (BAE) is designed for participants who are 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.

    This course will equip you with a set of skills that you can draw on to implement the technology in your organisation.

    Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.