🧩 COURSE SYLLABUS (MODULE-WISE)

🔹 Module 1: Fundamentals of Data & Analytics

• Introduction to Data and Information
• Types of Data (Structured & Unstructured)
• Data Analytics Life Cycle
• Role of Data in Business Decision-Making
• Overview of Data Analytics & BI Tools

🔹 Module 2: Advanced MS Excel for Data Analysis

• Data Formatting and Cleaning
• Advanced Formulas & Functions
• (IF, VLOOKUP/XLOOKUP, COUNTIF, SUMIF)
• Data Validation and Conditional Formatting
• Pivot Tables & Pivot Charts
• Dashboards and MIS Reports

🔹 Module 3: Database & SQL for Analytics

• Database Concepts
• Relational Databases
• Introduction to SQL
• SQL Queries (SELECT, WHERE, GROUP BY, JOIN)
• Data Extraction and Reporting
• Data Security Basics

🔹 Module 4: Python for Data Analytics (Foundation)

• Introduction to Python for Analytics
• Data Types and Control Structures
• Working with Libraries (NumPy, Pandas – Basics)
• Data Cleaning and Manipulation
• Basic Data Analysis with Python

🔹 Module 5: Data Visualization & BI Tools

• Principles of Data Visualization
• Charts and Graphs for Business Analysis
• Introduction to Power BI / Tableau (Conceptual + Practical)
• Creating Interactive Dashboards
• Storytelling with Data

🔹 Module 6: Business Intelligence Concepts

• Introduction to Business Intelligence (BI)
• BI Architecture and Workflow
• KPIs and Performance Metrics
• MIS & Management Reporting
• Decision Support Systems

🔹 Module 7: Statistics for Data Analysis (Basics)

• Descriptive Statistics
• Mean, Median, Mode
• Variance and Standard Deviation
• Correlation and Trend Analysis
• Business Use Cases of Statistics

🔹 Module 8: Data Management, Ethics & Security

• Data Quality and Governance
• Data Privacy and Compliance
• Ethical Use of Data
• Data Backup and Security Basics
• Industry Best Practices

🔹 Module 9: Projects & Practical Implementation

• Excel-Based Analytics Project
• SQL Data Analysis Project
• BI Dashboard Project
• Business Case Study Analysis
• Project Documentation & Presentation

🔹 Module 10: Employability & Professional Skills

• Resume Preparation for Data Roles
• Interview Preparation (Analytics Focus)
• Business Communication
• Presentation Skills
• Career Pathways in Data Analytics & BI

📝 ASSESSMENT & CERTIFICATION

• Internal Assessments & Practical Assignments: 40%
• Final Examination & Project Evaluation: 60%
• Successful learners will be awarded the
• Diploma in Data Analytics & Business Intelligence
• by LTPL Skill Foundation

💼 CAREER OPPORTUNITIES / JOB ROLES

• Data Analyst (Junior)
• MIS Executive
• Business Intelligence Executive
• Data Reporting Analyst
• Operations & Business Analyst (Entry Level)