Overview

Big Data & Machine Learning

Course Overview

An introductory yet practical program exploring big data ecosystems, machine learning concepts, and real-world business applications.

Learning Objectives

• Understand big data architecture
• Explore ML concepts and terminology
• Identify business use cases
• Interpret data-driven insights
• Understand ethical considerations

Course Outline

Module 1: Big Data Foundations

• Structured vs unstructured data
• Data lifecycle
• Cloud data platforms

Module 2: Machine Learning Basics

• Supervised vs unsupervised learning
• Algorithms overview
• Model lifecycle

Module 3: Data Preparation & Analysis

• Data cleaning concepts
• Feature engineering basics
• Visualization approaches

Module 4: Business Applications

• Marketing analytics
• Predictive maintenance
• Finance and HR analytics

Module 5: Governance & Ethics

• Data privacy
• Bias in AI
• Responsible AI principles