CBT Techniques for Eating Disorder Recovery Class

CBT Techniques for Eating Disorder Recovery Class

Explore CBT techniques to support recovery from eating disorders by addressing thoughts, behaviours, and emotional patterns effectively.

By NextGen learning

Date and time

Location

Online

Refund Policy

Refunds up to 7 days before event

About this event

The CBT Techniques for Eating Disorder Recovery Class offers insight into how cognitive behavioural therapy supports lasting recovery. Learn to understand the thought-behaviour cycle and apply evidence-based methods to promote healthier eating patterns.

Course Curriculum

  • Module 1: Algorithms, Analytics and PredictionsIntroduction
  • Module 2: Algorithms, Analytics and PredictionsCBT & Therapeutic principles
  • Module 3: Algorithms, Analytics and PredictionsThe Psychology & Causations of Eating Disorders
  • Module 4: Algorithms, Analytics and PredictionsThe Assessment & Planning
  • Module 5: Algorithms, Analytics and PredictionsCBT in Practice
  • Module 6: Algorithms, Analytics and PredictionsReviewing & Wrapping up
  • Module 7: Algorithms, Analytics and PredictionsAdditional Resources
  • Module 8: Algorithms, Analytics and PredictionsAssignment

(See full curriculum)

Frequently asked questions

What is the main focus of the "Statistics: Analysis and Inference" course?

This course explores key statistical concepts, covering data analysis, probability, distributions, estimation, hypothesis testing, regression, and predictive analytics. It also examines common statistical errors and ways to improve statistical reasoning for accurate decision-making.

Do I need prior knowledge of statistics to enrol in this course?

No prior statistical knowledge is required. The course begins with fundamental concepts, introducing key terms and data handling techniques before progressing to more advanced topics like probability, hypothesis testing, and regression analysis.

What will I learn in the module on binomial and normal distributions?

This module explains binomial and normal distributions, their properties, and how they model real-world data. You will learn to interpret probability distributions, understand their applications, and assess how they influence decision-making in various fields.

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NextGen learning
On Sale Aug 1 at 10:00 AM