Data Analytics and Business Intelligence

Course Objectives

• Understand the fundamental concepts of data analytics and business intelligence (BI).
• Learn how to extract, clean, analyze, and visualize data for decision-making.
• Explore key BI tools and techniques to derive actionable insights.
• Apply data-driven approaches to solve real-world business problems.

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Course Content

Introduction to Data Analytics and Business Intelligence

• Overview of Data Analytics and BI
• Importance of Data-Driven Decision Making
• Key Concepts: Data Types, Metrics, and KPIs
• Introduction to Tools and Platforms (Excel, Tableau, Power BI)

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Data Preparation and Cleaning

• Data Collection Methods
• Data Cleaning Techniques
• Handling Missing, Inconsistent, and Duplicate Data
• Organizing Data for Analysis

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Data Analysis and Visualization

• Descriptive and Exploratory Data Analysis
• Data Visualization Best Practices
• Creating Dashboards and Reports
• Tools in Action: Building Visualizations with Tableau/Power BI

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Business Intelligence Applications and Case Studies

• Applying BI in Marketing, Sales, and Operations
• Case Studies: Real-World BI Solutions
• Challenges and Ethical Considerations in BI
• Course Recap and Q&A

DATE:
1ST BATCH:10th–13th Feb,2026
2ND BATCH:2nd–5th Jun , 2026
3RDBATCH:28th-30th Sep ,2026