Unit 1 Introduction to Big Data and Business Intelligence
Concept and characteristics of Big Data (Volume, Velocity, Variety, Veracity, Value), Importance and need for Big Data in business decision-making, Introduction to Business Intelligence (BI), Difference and relationship between BI and Big Data Analytics, Overview of the Big Data ecosystem and technologies, Role of Big Data in digital transformation and data-driven culture, Real-world applications: retail, banking, healthcare, telecom.
Notes for remaining units will be uploaded shortly.
Unit 2 Data Sources and Data Management
Understanding structured, semi-structured, and unstructured data, Internal vs external data sources in business, Data storage and management: data warehouses, data lakes, Data quality, governance, and ethical issues, Data preprocessing: cleaning, integration, transformation, Basics of data privacy laws and compliance (GDPR, HIPAA
Unit 3 Analytics Techniques and Tools
Introduction to descriptive, predictive, and prescriptive analytics, Data visualization and storytelling with data, Overview of analytics tools: Excel, Tableau, Power BI, Analytical models: regression, clustering, classification (conceptual), Dashboarding and reporting for decisions, Case studies: customer analytics, marketing analytics.
Unit 4 Big Data Technologies and Infrastructure
Big Data architecture and frameworks, Hadoop ecosystem: HDFS, MapReduce, Hive (overview), Introduction to Spark, NoSQL databases (MongoDB, Cassandra), Cloud and Big Data: AWS, Azure, GCP overview, Matching technology with business needs, Collaboration between business managers and technical teams
Unit 5: Applications, Strategy, and Future Trends
Big Data applications in marketing, finance, HR, operations, Customer experience, personalization, and churn prediction, Predictive analytics for risk and fraud detection, Competitive advantage through data-driven decisions, Ethical and legal issues in Big Data, Future trends: AI, machine learning, real-time analytics, Capstone discussion: building a data-driven strategy