Module 6: Machine Learning Models

• Building and training machine learning models
• Model evaluation and validation techniques
• Decision trees, regression models, and clustering algorithms

Module 7: Data Mining

• Understanding data mining and its applications
• Association rule mining and clustering in data analytics
• Pattern recognition techniques

Module 8: Big Data Analytics

• Introduction to big data analytics
• Handling and processing large datasets
• Utilizing distributed computing frameworks

Module 9: Time Series Analysis

• Basics of time series analysis
• Forecasting trends and patterns in time-dependent data
• Application of time series models in data analytics

Module 10: Case Studies and Real-world Applications

• Hands-on case studies in data analytics
• Applying data analytics techniques to real-world scenarios
• Practical projects and exercises to reinforce learning