Data Analytics Essentials (DAE)

Course Information

  • Duration: 4 Day / 32 Hours
  • Certification:Participants will be awarded a Certificate of Competency in Data Analytics Essentials (DAE) 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

Data Analytics Essentials (DAE) 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.

Pre-Requisite

NA

Examination

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

Module 1 Introduction to Data Analytics

  • Concepts of Data Analytics
  • Importance and advantages of Data 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 Dataa 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 Analytics Tools

  • Introduction to Python
  • Features of Python
  • Exploration of Use Cases with Python

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