Introduction to Big Data for Business Intelligence

Course Curriculum

Chapter 1: Opening Remarks

Lecture 1: Course Overview

Chapter 2: Week 1: Module 1: Introduction to Big Data for Business Intelligence

Lecture 1: 1IB 2.1: Introducing the basic terms

Lecture 2: 1BI 2: Introducing Data Science

Lecture 3: 1BI 3: History of Data Science & Types of Data

Lecture 4: 1BI 4: Data Science Processes

Lecture 5: 1BI 5: The Characteristics: 7 Vs of Big Data

Lecture 6: 1BI 6: Markets for Data Science

Lecture 7: 1BI 7: Learning Outcome

Chapter 3: Week 2: Module 2: Data Science and Big Data

Lecture 1: 2 BI 0: Learning Objectives of Module 2

Lecture 2: 2 BI 01: Data Science Life Cycle

Lecture 3: 2 BI 02: Data Science & Statistics

Lecture 4: 2 BI 03: Skill Sets for Data Scientists

Lecture 5: 2 BI 04: Roles of Data Scientists in Businesses.

Lecture 6: 2 BI 04.1: Roles of Big data Professionals in businesses.

Lecture 7: 2 BI 05: Symbiotic Relationship between Big Data and Data Science

Lecture 8: 2BI 06: How do Big Data and Data Science add value to businesses?

Lecture 9: 2 BI 07: Learning Outcomes

Chapter 4: Week 3: Module 3: Big Data Models

Lecture 1: 3 BI 0: Learning Objectives of Module 3.

Lecture 2: 3 BI 01: Big Data Models

Lecture 3: 3 BI 02: Differentiate RDBMS & NoSQL

Lecture 4: 3 BI 03: Distributed Computing & MapReduce.

Lecture 5: 3 BI 04: Stream Processing, Apache Kafka and Apache Flink for BI.

Lecture 6: 3 BI 05: Machine Learning & Predictive Models: Transforming Businesses.

Lecture 7: 3 BI 06: Deep Learning Models: Unleashing the Power of Neural Networks

Lecture 8: 3 BI 07: Graph Analytics: Unveiling Insights in Interconnected Data

Lecture 9: 3 BI 08: Big Data Frameworks: Empowering Scalable and Efficient Data Processing

Lecture 10: 3 BI 09: The 9S of Big Data Framework.

Lecture 11: 3 BI 10: Techno – Cultural Roles of Managers in the Big Data Landscape.

Lecture 12: 3 BI 11: Learning Outcome

Chapter 5: Week 4: Module 4: Big Data Architecture:

Lecture 1: 4 BI 0: Learning Objectives of Module 4.

Lecture 2: 4 BI L1: Components of Big Data Architecture.

Lecture 3: 4 BI L1a: APIs and Web Services.

Lecture 4: 4 BI L1b: File Transfer and Copying.

Lecture 5: 4 BI L1c: Data Governance and Security.

Lecture 6: 4 BI L1d: Analytics and Visualization Tools.

Lecture 7: 4 BI L1e: IoT Device Data Ingestion

Lecture 8: 4 BI L1f: Big Data Storage Systems:

Lecture 9: 4 BI L1g: Processing Engines and Computing Infrastructure:

Lecture 10: 4 BI L2: Features of Big Data Architecture:

Lecture 11: 4 BI L3: Importance and Impact:

Lecture 12: 4 BI L4: Future Directions and Advancements:

Lecture 13: 4 BI L5: Learning Outcomes:

Chapter 6: Week 5: Big Data for Business Intelligence.

Lecture 1: 5 BI Lo: Learning Objectives

Lecture 2: 5 BI L1: New Data Sources:

Lecture 3: 5 BI L2a: Big Data Business Model

Lecture 4: 5 BI L2b: Business Insights & Optimisation

Lecture 5: 5BI L2c: Business Monitisation & Metamorphosis

Lecture 6: 5 BI L2d: The Transition

Lecture 7: 5 BI L3: The Observations

Lecture 8: 5 BI L4: Data Monetisation & Business Impact

Lecture 9: 5 BI L5: Business Data Analytics Lifecycle

Lecture 10: 5 BI L6: Learning Outcomes:

Chapter 7: Week 6: Decision Analysis

Lecture 1: 6 BI L0: Learning Objectives

Lecture 2: 6BI L1: Formulating Decision Problems

Lecture 3: 6BI L2: Decision Strategies without Outcome Probabilities

Lecture 4: 6BI L3 : Opportunity-Loss Strategy

Lecture 5: 6 BI L4: Decision Strategies for a Maximize Objective

Lecture 6: 6 BI L5: Decision Trees:

Lecture 7: 6BI L6: Learning Outcome:

Chapter 8: Week 7: Big Data in Health Management.

Lecture 1: 7 BI L0: Learning Objectives

Lecture 2: 7 BI L1: Technology Driven Healthcare

Lecture 3: 7 BI L1a: Hadoop's MapReduce for Healthcare.

Lecture 4: 7 BI L1b: Apache Spark for Healthcare.

Lecture 5: 7 BI L1c: Arogya Sethu: India's Vibrant Healthcare Application.

Lecture 6: 7 BI L2: Learning Outcomes

Chapter 9: Week 8: Case Studies.

Lecture 1: 8 BI L0: Learning Objectives.

Lecture 2: 8 BI L1: Case 1: WALMART: The Retailer.

Lecture 3: 8 BI L2: CERN: Research Organisation.

Lecture 4: 8 BI L3: NETFLIX: A Visual Media.

Lecture 5: 8 BI L4: ROLLS ROYCE: Automobile Manufacturers.

Lecture 6: 8 BI L5: FACEBOOK: Social Media Network.

Lecture 7: 8 BI L6: Learning Outcomes.

Chapter 10: Concluding Remarks

Lecture 1: Thank you.