The Diploma in Data Analytics is a comprehensive program designed to train students in data analysis, data visualization, and business intelligence tools used in real-world industries. This diploma focuses on transforming raw data into meaningful insights using structured analysis techniques, dashboards, and reporting. It prepares learners for roles such as Data Analyst, Business Analyst, and MIS Executive.
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Course Syllabus
Module 1: Fundamentals of Data Analytics
What is Data Analytics
Types of Data Analytics
Data Analytics Lifecycle
Applications of Data Analytics
Module 2: Data Handling & Preparation
Types of Data
Data Collection Methods
Data Cleaning Techniques
Data Transformation Basics
Module 3: Microsoft Excel for Data Analysis
Advanced Excel Functions
Logical & Lookup Functions
Pivot Tables & Charts
Excel Dashboards
Module 4: Statistics for Data Analytics
Descriptive Statistics
Mean, Median, Mode
Variance & Standard Deviation
Correlation & Probability
Module 5: Data Visualization Principles
Importance of Data Visualization
Choosing the Right Charts
Data Storytelling
Visualization Best Practices
Module 6: Power BI for Data Analytics
Power BI Architecture
Data Modeling
DAX Basics
Interactive Dashboards
Module 7: Advanced Power BI Analytics
Advanced DAX Functions
Complex Dashboards
Performance Optimization
Security & Sharing
Module 8: Business Intelligence Concepts
BI Tools Overview
KPI & Metrics
Decision Making Using Data
BI in Organizations
Module 9: SQL Concepts for Data Analysis
Database Basics
SQL Queries
Data Retrieval
Joins & Aggregations
Module 10: Data Analytics Case Studies
Sales Analytics Case Study
Financial Analytics Case Study
Operations Analytics
Real-World Scenarios
Module 11: Capstone Project
End-to-End Data Analytics Project
Data Cleaning → Analysis → Dashboard
Project Documentation
Project Presentation
Module 12: Internship / Practical Assessment
Practical Assignments
Viva Voce
Final Examination
Certification Evaluation
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