Business Analytics Essentials

The course is designed to provide in-depth knowledge of handling data and Business Analytics' tools that can be used for fact-based decision-making.This course will allow participants to apply concepts acquired during the course to real-life scenarios.

Course Objectives

This course offers a comprehensive understanding of data handling and Business Analytics tools for decision-making. Through interactive sessions, participants learn statistical analysis, data mining, and decision-making techniques. By applying these skills to real scenarios, they gain practical insights to drive organizational success.

Benefits of Attending

This course empowers participants to elevate their decision-making skills to the next level. By the end of the training, attendees will understand how big data analytics can drive competitive strategies and impact financial, risk, and business performance. They’ll also learn to harness extensive data sets for improved decision-making, and differentiate between efficiency and effectiveness in institutional operations. Through this focused learning, participants gain the tools needed to leverage data effectively for organizational advancement.

Who Should Attend

Participants of this course can expect to enhance their skills in big data analytics using sophisticated/advanced statistical techniques such as neural networks. The target audience are:

  • Marketing Analysts
  • Supply Chain Analysts
  • Operations research Analysts
  • HR Analysts
  • Head of Technology
  • Head of Analytics
  • Finance Managers

TRAINER PROFILE

Dr. Hussein A. Abdou Ph.D has completed his PhD in Risk Modelling applying Credit Scoring Techniques at The University of Plymouth, UK. Is an Instructor and guest lecturer at Huddersfield Business School, UK and specifically co-teaches the Master of Business Analytics program Boot Camp. He is passionate about the role data & analytics play in creating “clarity out of chaos” and how analytic capabilities can evolve into a strategic competitive advantages for companies and organizations. He spent a number of years as a management consultant specializing in strategy, analytics, and analytic organizational design, which led to series of industry-side roles in building analytic organizations and capabilities.

Learning Benefits

Training Outline

Concepts of Business Analytics

  • Importance and advantages of Business Analytics
  • Different Types of Analytics
  • Predictive Analytics, Descriptive Analytics, and Prescriptive Analytics
  • Text Analytics and Web Analytics

Data Analytics in Businesses

  • Definition of big data
  • Importance of big data
  • Significance of big data

Comparison between Small and Big data

  • Nature of the data
  • Categorical data
  • Numerical data
  • Challenges of big data

Data Mining for Business Analytics

  • Fundamentals of Data Mining
  • Objectives of Data Mining
  • Key aspects of Data Mining
  • Data visualization and exploration

Sophisticated Machine Learning Techniques:

  • Decision tree
  • Neural networks:
    • Probabilistic neural networks
    • Multilayer perceptron neural networks
    • Cascade correlation neural networks

How to Analyse Data

  • Applications of big data analytics
  • Government, Hospitality, Health, Financial institutions
  • Repairing big data for analysis
  • Primary check
  • Arranging data

Different Software Packages

  • Palisade Corporation
  • DTREG
  • Scorto Credit decision
  • PASW Modular
  • Data Mining for Business Analytics

    • Fundamentals of Data Mining
    • Objectives of Data Mining
    • Key aspects of Data Mining
    • Data visualization and exploration