Course Contents

Module 1: Introduction to Data Mining

• Fundamentals of Data Mining
• Knowledge Discovery Process
• Data Mining Applications
• Data Warehousing Concepts
• Business Intelligence Overview

Module 2: Introduction to R Programming

• Installing R and RStudio
• R Environment Basics
• Variables and Data Types
• Operators and Expressions
• Functions and Packages

Module 3: Data Collection and Integration

• Data Sources and Formats
• Importing Data from CSV, Excel, and Databases
• Data Integration Techniques
• Data Consolidation Methods
• Handling Multiple Data Sources

Module 4: Data Preprocessing

• Data Cleaning Techniques
• Handling Missing Values
• Data Transformation
• Data Normalization
• Data Reduction Methods

Module 5: Exploratory Data Analysis (EDA)

• Data Exploration Techniques
• Summary Statistics
• Correlation Analysis
• Pattern Identification
• Outlier Detection

Module 6: Data Visualization Using R

• Charts and Graphs
• Bar Charts and Pie Charts
• Histograms and Box Plots
• Scatter Plots
• Interactive Data Visualization

Module 7: Data Mining Techniques

• Classification Methods
• Clustering Techniques
• Association Rule Mining
• Regression Analysis
• Anomaly Detection

Module 8: Statistical Analysis with R

• Descriptive Statistics
• Probability Distributions
• Hypothesis Testing
• Confidence Intervals
• Statistical Modeling

Module 9: Machine Learning Fundamentals

• Introduction to Machine Learning
• Supervised Learning
• Unsupervised Learning
• Model Training and Evaluation
• Performance Metrics

Module 10: Database Connectivity

• Connecting R with Databases
• SQL Integration
• Data Extraction and Querying
• Data Import and Export
• Database Management Basics

Module 11: Predictive Analytics

• Forecasting Techniques
• Predictive Modeling
• Trend Analysis
• Customer Behavior Analysis
• Business Prediction Models

Module 12: Big Data Integration Concepts

• Big Data Fundamentals
• Data Integration Challenges
• Data Processing Frameworks
• Scalable Analytics Concepts
• Real-World Applications

Module 13: Reporting and Dashboard Creation

• Automated Reports
• Data Presentation Techniques
• Dashboard Fundamentals
• Visualization Best Practices
• Business Reporting

Module 14: Live Projects & Case Studies

• Sales Data Analysis
• Customer Segmentation Project
• Market Basket Analysis
• Business Intelligence Reporting
• End-to-End Data Mining Project