Data Analytics & Business Intelligence

Course Overview

The objectives of this course are to provide business managers with comprehensive understanding of (BI) Business Intelligence, its components, and challenges associated with selection and deployment of a good functional BI solution. This course also covers basic understanding of AI (Artificial Intelligence) and ML (Machine Learning) and their possible business use cases.

Course Objectives

After completing the course, participant will:

  • Be aware of definitions, concepts, and roles of primary components of a BI system.
  • Be aware of primary challenges of implementation of a BI solution.
  • Gain a detailed overview on selection criteria for a BI solution.
  • Know basic principles of designing a functional and actionable dashboard.
  • Be aware of basic concepts of AI (Artificial Intelligence) and ML (Machine Learning).
  • Have basic idea of possible business applications of AI and ML.

Course Content

Day 1:

  • Definition & brief history of BI
  • Types of data
  • Challenges related to data
  • Data integration and consolidation
  • Big Data
  • Data mining
  • Text analytics
  • Business analytics
  • Data visualization and its challenges
  • Dashboards, principals of designing a functional and actionable dashboard
  • Importance of good UI and UX
  • Infrastructure for a BI, hardware and software
  • Criteria for choosing the right BI solution
  • Introduction to AI (Artificial Intelligence) and ML (Machine Learning)
  • Possible business applications of AI and ML

Course Methodology

The training is going to be highly interactive combination of lectures, breakout rooms, group discussions, questionnaires, and videos

Target Audience

Data Analytics and Business Intelligence training course is designed for:

  • Business Managers,
  • Project Managers
  • IT Managers,
  • Database Administrators and Data Architects,
  • Developers and SQL Developers,
  • Data Scientists,
  • Business Intelligence Partners


2 Days (15:30–18:30) with appropriate breaks for tea/refreshments and lunch.

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