EIQ2 Coaching for Improved Performance and Superior Results

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EIQ2 Coaching for Improved Performance and Superior Results provided by Udemy is a comprehensive online course, which lasts for 3-4 hours worth of material. EIQ2 Coaching for Improved Performance and Superior Results is taught by Scott Paton, Scott Alex and Robert Jerus. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

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.