Cognitive Computing and Big Data Analytics
Build cognitive systems that connect big data, analytics, and intelligent applications
Created by Marcia A. Kaufman, Judith S. Hurwitz
Explore how cognitive computing systems leverage big data, analytics, and natural language processing to build smarter, more responsive applications. Gain practical insights into the design and implementation of intelligent systems using real-world examples and platforms like IBM Watson.
Wiley | Sep 2026 | 288 min
What You Will Learn
You will start by learning the foundational concepts and design principles of cognitive computing. As you move forward, you will connect these ideas to natural language processing, big data, knowledge representation, analytics, and cloud architecture. Application-focused sections will guide you through planning and implementing cognitive systems in real-world scenarios.
Key Features
- Understand the core principles of cognitive computing and how they connect to big data
- Apply NLP, taxonomies, and ontologies to enhance intelligent application design
- Analyze real-world use cases in healthcare, government, and emerging technology areas
Target Audience
This course is ideal for technology leaders, data professionals, architects, developers, analysts, and students with an intermediate background. If you want to deepen your understanding of cognitive computing, big data analytics, NLP, and cloud platforms like IBM Watson, and see how these technologies are applied in practice, this course is for you.
