• Analytics Landscape 
• Descriptive Analytics – Scales of measurement, measures of central tendency
• Probability & Conditional Probability
• Sampling & Estimation
• Hypothesis Testing – Parametric Tests, Non-Parametric Tests, ANOVA
• A/B Testing Hands-On
• Hypothesis Testing – Case Exercise
• Correlations
• Decision Trees
• Mini Project (Using Python)

• Data Quality Checks 
• Data Cleaning  
• Data Imputation 
• Hands-On Exercise 

• Data Storytelling 
• Visual perception, Gestalt principles, Visual Encoding, Edward Tufte Design principles 
• Hands-on: Explore and Build data visualizations in Tableau
• Hands-on: Building Interactivity and Animations
• Hand Boarding and Storyboarding
• PowerBI, components and architecture
• Powerbi Desktop – Exploring Tool, creating report and dashboard
• Hands-on: Advance PowerBI Visualization 

Capstone Project (Using Python, Tableau, PowerBI)

Supervised Learning: 

• Simple Linear Regression: Case Exercise 
• Multiple Linear Regression: Case Exercise 
• Logistic Regression: Case Exercise 

Capstone Project (Using Python) 

Unsupervised Learning: 

• Cluster Analysis using Python 
• Conjoint Analysis  
• Factor Analysis 
• Principle Component Analysis (PCA)
• Regression: Simultaneous Equations 

Mini Project

• Git, GitHub, GitHub Copilot 
• Cloud Computing Fundamentals
• AWS Cloud Services: Hands-On
• Azure Cloud Services: Hands-On 

• Data Modeling & Analysis
• Statistical Analysis for Engineering Data
• Decision Intelligence Framework
• Optimization & Simulation Techniques
• Case Exercises & Real-world Applications 

Mini Project 

• Introduction to Time Series Data 
• Decomposition of Time Series Data 
• Simple Forecasting Techniques – Smoothing Techniques 
• Case Assignment + Group Exercise
• ARMA & ARIMA Models: Case Exercise 

Mini Project 

• Reinforcement Learning 
• Markov Chains with Absorbing States: Case Exercise
• Customer Lifetime Value (CLV): Case Exercise
• Ensemble Methods Hands-On
• Loss Function & Gradient Descent Optimization
• Regularization: Lasso & Ridge Regression
• Dealing with Data Imbalance
• SVM, Random Forest Hands-On
• Boosting & Stacking Hands-On
• Advanced Feature Engineering and Feature Selection Techniques
• Recommender Systems: Association Rules, Collaborative Filtering Matrix Factorization 

Capstone Project 

• Big Data Overview & Ecosystem 
• Spark Architecture Overview 
• Spark APIs 
• SQL
• Spark Advanced Analytical Functions
• Spark Streaming
• Spark & ML
• Big Data & AWS Cloud 

Mini Project 

• AI & Deep Learning Fundamentals 
• Concept of Representational Learning 
• Artificial Neural Networks: Multi-layer Perceptron; Back Propagation 
• Hyper-Parameter Tuning (Learning Rate Scheduling, Batch Size, Epoch, Hidden Layers and neurons)
• Training Deep Neural Networks - Faster Optimizers, Avoiding Overfitting - (Dropout, Batch Normalization)
• Autoencoders - Transfer Learning, Unsupervised Pre-training, Anomaly Detection
• Convolutional Neural Networks - Concept of Convolution and filters/kernels Grey-scale and color images
• Image Classification using CNNs and concept of receptive fields
• Explaining Convolution Layers, understanding CNN Architectures
• Data augmentation strategies - overcoming over-fitting and handling data imbalance
• Transfer Learning - Feature Extraction and Fine Tuning 

Capstone Project (Using Python, PyTorch) 

• Introduction to Generative AI and LLMs (Foundation Models)
• Training Large Language Models
• In-context Learning/Prompt Engineering - Enhancing Model Outputs
• Cost Optimization Strategies for LLM Training & Aligning to Human values
• LangChain: Simplifying Development with Language Models
• LLM Powered Applications
• Generative Image Models
• Use Cases of Generative AI
• Responsible AI - Ethical Considerations in Generative AI 

Capstone Project 

• MLOps Overview 
• Dealing with Data Labelling Challenges 
• Building ML Pipelines and Model Versioning 
• Model Experiments and Experiment Tracking 
• Case Assignments
• Model Persistence and AutoML
• Model Serving using Containers
• Model Monitoring
• Azure ML Deployment 

Model Deployment Exercise 

• Design Thinking Practitioner 
• Product Success Leader 
• UI/UX Expert 
• Next-Gen AI Marketer
• Reporting & Communication 

• Intelligent Process Automation 
• Digital Leadership 

• Mindfulness & Benefits
• Mindful Breathing & Grounding Techniques
• Cultivating Present-Moment Awareness
• Managing Workload & Prioritization
• Mindful Communication & Collaboration
• Stress Resilience & Self-Care
• Sustaining Mindfulness in the long run