1. Do I need prior programming experience to take this specialization?

Basic programming familiarity is recommended, but no advanced expertise is needed.Python is used for scraping, visualization, and ML/NLP labs. ...

2. Will I work with real-world social data?

Includes web scraping of social media and online datasets.Uses IBM Watson for NLP analysis.Visualizes social networks and simulates ...

3. Does the program cover ethical considerations in computational social science?

Discusses privacy, bias, and ethical AI in social data analysis.Evaluates responsible use of AI and computational methods.Integrates ...

4. How technical are the agent-based simulations and ML/NLP labs?

Introduces agent-based modeling using platforms like Sugarscape and Schelling’s segregation.ML and NLP exercises focus on pattern detection in ...

5. What career opportunities does this specialization support?

Prepares for roles like Computational Social Scientist, Data Analyst, Policy Analyst, and Social Researcher.Demand is high in academia, ...

1. Do I need programming experience to take this course?

No programming or coding knowledge is required.Focuses on AI concepts, strategy, and project management.Hands-on exercises are planning and ...

2. Will I learn how to implement AI systems technically?

Covers AI project workflows, team structures, and planning.Includes case studies in healthcare, finance, and manufacturing.No labs for ...

3. Can I apply what I learn to real business scenarios?

Teaches translating business problems into AI use cases.Guides planning data collection, model evaluation, and deployment.Case studies ...

4. Is the course fully in Spanish?

All lectures, explanations, and exercises are in Spanish.Ideal for Spanish-speaking professionals seeking AI knowledge.Supports ...

5. What career opportunities can this course support?

Prepares for roles like AI Product Manager, AI Strategy Consultant, and Change Manager.Useful in industries like consulting, finance, ...

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