Please be informed that this site uses cookies.

+971 56 800 6744

+971 2 622 2605

Course Description

The Business Intelligence and Data Analysis training equips participants with the knowledge and practical skills to transform raw data into actionable insights that support business decision-making. The course focuses on data collection, data visualization, reporting, predictive analytics, and BI tool usage. Participants will learn how to analyze trends, evaluate KPIs, and develop dashboards that drive strategic business outcomes.

Course Objectives

 Upon the successful completion of this course, each participant will be able to:

  • Understand the fundamentals of Business Intelligence and its role in organizational decision-making.
  • Collect, clean, and prepare data for analysis from multiple sources.
  • Apply statistical and analytical techniques to interpret business data.
  • Develop reports, dashboards, and visualizations to communicate insights effectively.
  • Identify trends, patterns, and correlations to support strategic and operational decisions.
  • Utilize BI tools (e.g., Power BI, Tableau, Excel) to automate reporting and data visualization.
  • Implement performance metrics (KPIs) and monitor business performance.
  • Translate analytical findings into actionable business recommendations.

Who Should Attend?

This course is designed for business analysts, managers, data professionals, decision-makers, and anyone involved in reporting, analytics, or performance measurement

Course Agenda

Registration

Welcome & Introduction

Pre-Test

Day 1: Introduction to Business Intelligence and Data Analytics

  • Overview of Business Intelligence (BI) and Data Analytics
  • Importance of data-driven decision-making
  • Key BI concepts: dashboards, KPIs, reports, scorecards
  • Types of analytics: descriptive, diagnostic, predictive, prescriptive
  • Introduction to data sources and data quality concepts
  • Data governance and ethics

Day 2: Data Collection, Preparation, and Cleaning

  • Data types and data structures
  • Data collection methods: internal systems, databases, third-party sources
  • Data cleaning and transformation (ETL basics)
  • Handling missing, inconsistent, and duplicate data
  • Data integration from multiple sources
  • Preparing datasets for analysis

Day 3: Data Analysis Techniques and Statistical Tools

  • Descriptive statistics: mean, median, mode, standard deviation
  • Trend analysis and correlation
  • Data segmentation and clustering basics
  • Predictive analytics overview
  • Introduction to hypothesis testing and regression analysi
  • KPI development and performance measurement
  • Identifying actionable insights from data

Day 4: Data Visualization and Reporting

  • Principles of effective data visualization
  • Selecting the right charts and dashboards
  • Designing interactive dashboards and reports
  • Using BI tools: Power BI / Tableau / Excel
  • Storytelling with data for decision-makers
  • Automating reports and dashboards
  • Best practices for presenting insights to management

Day 5: Advanced Analytics, BI Strategy, and Practical Application

  • Predictive modeling and scenario analysis
  • Data-driven decision-making frameworks
  • Linking BI to strategic business objectives
  • Implementing BI initiatives and governance in organizations
  • BI project lifecycle: planning, development, deployment
  • Challenges and pitfalls in BI adoption
  • Case studies and real-world BI applications

Post Test

End of the Course

Assessment Methodology

All courses conducted by EdTech will begin with a Pre-evaluation and end with a Post-evaluation. The instructor will evaluate the knowledge and skills of the participants according to the feedback given by participants. This will help to recognize the benefits and the level of knowledge gained by participants through the course.

Training Methodology

Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.

Percentages of the total course hour classification are:

  • ​40% Theoretical lectures, Concepts and approach
  • 20% Motivation to develop individual skill and Techniques
  • 20% Case Studies and Practical Exercises
  • 20% Topic General Discussions and interaction

Course Manual

Participants will be provided with comprehensive presentation material as reference manual. This presentation material is a compilation of core valuable information, references, presentation methods and inspiring reading which will be used as a part of the material guide.

Course Certificate

At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.

Why Edtech ?

  • Industry Experienced; Internationally Qualified Trainers
  • Hands-on Practical Sessions & Assignments
  • Intensive Study materials
  • Flexible Schedules
  • Realistic training methodology
  • High-Quality Training in Affordable Course Fees
  • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.