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Generative AI in Data Analytics Virtual

Unlock unparalleled data insights with Generative AI! 

Course overview

About the course

Dive into the world of neural networks and synthetic data to revolutionize your analytics. Master data cleaning, transformation, and real-time integration for seamless operations. Explore the ethical implications and cutting-edge quantum computing technologies shaping the future. Stay ahead with advanced analytics and discover the limitless potential of data generation. 

Duration

The course includes 4 hrs of live instructor-led learning.

  • Learn the basics of generative AI, its importance in data analytics, the workings of generative models, and fundamentals of neural networks and deep learning
  • Learn how to generate synthetic data for various needs like training ML models, ensuring privacy, augmenting datasets, and maintaining data integrity.
  • Acquire skills in creating tailored, accessible data visualizations, generating insights, and identifying patterns, trends, and anomalies in data
  • Master automated data cleaning, intelligent transformation, real-time analysis, predictive modeling, forecasting future trends, and scenario simulation for risk assessment.
  • Learn about the challenges and ethics in AI data generation, including computational limits, model stability, quantum computing, and transfer learning.
  • The confluence of Generative AI and data science
  • Data augmentation with Generative AI
  • Generative AI for data visualization
  • Generative AI for data exploration and discovery
  • Optimizing ETL processes and data pipelines with AI
  • Generative AI for data modeling and forecasting
  • Challenges in integrating generative AI in data projects
  • Future directions and evolving trends
  • The course includes 4 hrs of live instructor-led learning.

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