Data Analysis Techniques, Modeling and Strategies

Objectives:
• Understand the fundamental concepts and principles of data analysis
• Learn various data analysis techniques and their applications
• Develop skills in data modeling and building predictive models
• Explore strategies for effective data-driven decision making
Course Content:
Introduction to Data Analysis
• Overview of data analysis
• Types of data and data structures
• Data quality and data cleaning
Exploratory Data Analysis (EDA)
• Descriptive statistics
• Data visualization techniques
• Identifying patterns and trends
Statistical Analysis Methods
• Regression analysis
• Hypothesis testing
• Confidence intervals
• Multivariate analysis
Data Modeling Techniques
• Conceptual data modeling
• Logical data modeling
• Physical data modeling
• Entity-Relationship Diagrams (ERD)
• Unified Modeling Language (UML) Class Diagrams
Predictive Modeling
• Machine learning algorithms
• Supervised and unsupervised learning
• Model evaluation and validation
• Overfitting and regularization
Data Analysis Strategies
• Defining business objectives
• Data requirements gathering
• Iterative model development
• Interpreting and communicating results
Case Studies and Best Practices
• Real-world examples of data analysis projects
• Lessons learned and best practices
• Ethical considerations in data analysis
Who Can Attend:
• Data analysts and business analysts
• Data scientists and machine learning engineers
• Business intelligence professionals
• Researchers and academics
• Anyone interested in data-driven decision making

Methodology
The training methodology integrates lectures, interactive discussions, collaborative group exercises, and illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical experience, emphasizing the application of learned techniques. This approach ensures that attendees return to their professional environments equipped with both the competence and self-assurance to effectively implement the acquired skills in their responsibilities
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DATE:
1ST BATCH: 25th – 28th Feb, 2025
2ND BATCH: 12th – 15th Aug, 2025