Duration 3 days – 21 hrs
Overview
The Business Intelligence and Analytics Foundation Training Course provides participants with a strong grounding in the principles, processes, tools, and techniques used in business intelligence (BI) and data analytics. The course introduces key concepts such as data modeling, data visualization, reporting, and decision-making support. It emphasizes practical use of BI tools and frameworks to help organizations convert raw data into meaningful insights. Ideal for professionals beginning their BI journey or seeking to upskill in analytics.
Objectives
- Understand the fundamentals of Business Intelligence and analytics.
- Describe the data-to-insight lifecycle.
- Apply basic data modeling techniques.
- Use BI tools to create dashboards and reports.
- Interpret key performance indicators (KPIs) and metrics.
- Support data-driven decision-making in business contexts.
Audience
- Entry-level business analysts
- Data entry/reporting personnel
- Junior IT professionals
- Business managers involved in decision-making
- Anyone interested in pursuing a career in BI and analytics
Pre-requisites
- Basic understanding of business operations
- Familiarity with Excel or any spreadsheet tool is helpful
- No prior BI or programming experience required
Course Content
Day 1: Introduction to Business Intelligence
- What is Business Intelligence?
- The Data-Information-Insight-Action Framework
- Importance of BI in modern business
- Overview of BI Platforms (Power BI, Tableau, Qlik, etc.)
- Types of BI tools (descriptive, diagnostic, predictive, prescriptive)
- Data Sources: Databases, Flat Files, APIs, Cloud
Day 2: Data Analytics Foundations
- Data Structures & Types (structured vs. unstructured)
- Data Quality & Governance Basics
- Introduction to Data Modeling (Star Schema, Snowflake Schema)
- Introduction to KPIs and Metrics
- Basic SQL for Analytics (SELECT, JOIN, WHERE, GROUP BY)
- Introduction to Excel PivotTables and simple visualizations
Day 3: BI Reporting and Visualization
- Storytelling with Data
- Dashboard Design Best Practices
- Hands-on with BI Tool (e.g., Power BI or Tableau)
- Connecting to data
- Building visuals: bar charts, line charts, pie charts, maps
- Creating interactive dashboards
- Publishing and sharing BI insights
- BI in Strategic Decision Making
- Case Study / Capstone Exercise
