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EIQ2 Coaching for Improved Performance and Superior Results

Offered By: Udemy

Tags

Leadership Courses Emotional Intelligence Courses Coaching Courses Empathy Courses Positive Psychology Courses Self-Awareness Courses Relationship Management Courses Social Awareness Courses

Course Description

Overview

Emotional Intelligence for Coaching, Training and Development

What you'll learn:
  • How to coach effectively
  • How to find ideal clients
  • How Emotional Intelligence improves your coaching performance
  • How to adjust your coaching style to match your client
  • How to use EI in your coaching

EIQ-2 Learning and Positive Psychology are based on Self-Awareness; Self-Management; Empathy/Social Awareness and Relationship Management.

Training, Development and Continuous Improvement are the tools to respond to a volatile, uncertain, complex, ambiguous world. For the individual, team, organization and community, the skills that brought you this far are inadequate to face the challenges of tomorrow. Learning is the answer. It needs to connect different types of thinking, memory, as well as the tools to transform. This system is experiential, blended, visual and feed-forward.

In this fast-paced course you will discover:

  • The Neuroscience of Learning

  • Learning to Adapt & Apply

  • Memory Games

  • Emotional Intelligence & Development

From the traditional perspective of associative learning theory, the hypothesis linking modifications of synaptic transmission to learning and memory is plausible. It is less so from an information-processing perspective, in which learning is mediated by computations that make implicit commitments to physical and mathematical principles governing the domains where domain-specific cognitive mechanisms operate. We compare the properties of associative learning and memory to the properties of long-term potentiation, concluding that the properties of the latter do not explain the fundamental properties of the former.

The neuroscience of reinforcement learning emphasizes the representational implications of the neuroscientific findings. Extensively findings that confirm the existence of complex computations in three information-processing domains: probabilistic inference, the representation of uncertainty, and the representation of space.



Taught by

Scott Paton, Scott Alex and Robert Jerus

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