📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Introduction to Big Data, from foundations to a certified capstone project.
Outline
What is Big Data? • Characteristics of Big Data: Volume, Velocity, and Variety • Importance of Big Data in Modern Systems • Applications of Big Data
Outline
Structured vs Unstructured Data • Data from Social Media, Sensors, and Systems • Data Generation and Collection • Importance of Data Quality
Outline
How Big Data is Stored and Managed • Introduction to Data Processing Concepts • Batch vs Real-Time Processing: Basic Idea • Overview of Data Pipelines
Outline
Understanding Data Analysis at Scale • Extracting Insights from Large Data • Basic Idea of Predictive Analytics • Use Cases in Business and Technology
Outline
Big Data in Business, Healthcare, and Finance • Role of Big Data in AI and Machine Learning • Career Opportunities in Big Data and Analytics • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Introduction to Big Data
e-Certificate and e-Marksheet issued on successful completion.
