Published 9/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.36 GB | Duration: 4h 26m
Learn types of Motivation Analytics, Key concepts, data insights, drivers, impact on behaviour and decision making
What you’ll learn
You will learn the objectives, introduction, meaning, and types of motivation analytics, as well as the stakeholders interested in understanding
The objectives of studying motivation analytics and how these insights are applied to enhance motivation, improve decision-making, and optimize outcomes
You will be able to learn the basics of motivation analytics, including key concepts such as motivation drivers and data-driven insights
Learn about key concepts in motivation analytics, including understanding how motivation drivers and data-driven insights impact behavior.
Explore how these concepts influence motivation and decision-making processes, with a focus on specific examples and applications
Learn about how motivation drivers and data-driven insights influence behavior in various contexts.
Explore how individuals handle motivation and engagement, including the impact of these drivers on personal and organizational decisions.
Applying principles of motivation analytics, including analyzing how motivation drivers and data-driven insights affect behavior and decision-making.
Discover how to gain knowledge of motivation analytics concepts, including understanding motivation drivers and data-driven insights
Requirements
You should have an interest in the fundamentals of motivation analytics.
Be interested in gaining knowledge about motivation drivers and data-driven insights, understanding how these factors influence behavior and decision-making (similar to how metrics are analyzed in performance reports), and how to apply these insights to enhance motivation and optimize decision-making processes.
Have an interest in understanding how motivation drivers and data-driven insights affect behavior in various contexts
Description
DescriptionTake the next step in your career! Whether you’re an emerging professional, an experienced executive, an aspiring manager, or a budding specialist, this course is an opportunity to sharpen your understanding of motivation analytics, enhance your decision-making efficiency, and make a positive and lasting impact on your business or organization.With this course as your guide, you learn how to:● All the essential functions and skills required to understand and apply the fundamentals of motivation analytics.● Transform objectives, introduction, meaning, and types of motivation drivers and data-driven insights, the stakeholders interested in understanding these factors, and the goals of studying motivation analytics.● Get access to recommended templates and formats for detailed information related to the fundamentals of motivation analytics.● Learn about motivation drivers and data-driven insights, understanding their impact on behavior and decision-making processes, and how these concepts are applied with useful forms and frameworks.● Invest in understanding motivation analytics today and reap the benefits for years to come by enhancing your decision-making skills and applying these insights to achieve more effective outcomes.The Frameworks of the Course● Engaging video lectures, case studies, assessments, downloadable resources, and interactive exercises. This course is designed to explore the objectives, introduction, meaning, and types of motivation drivers and data-driven insights, the stakeholders interested in these insights, and the goals of applying motivation analytics. Part 1 covers the basics of understanding and applying motivational principles to behavior and decision-making processes.● Understanding motivation drivers and data-driven insights, their impact on behavior, and how these factors influence various aspects of decision-making. Explore how motivation drivers affect perceptions of performance, engagement, and outcomes, and how to apply these insights to improve the accuracy and effectiveness of behavior analysis and decision-making.● The course includes multiple case studies, resources such as formats, templates, worksheets, reading materials, quizzes, self-assessments, interactive exercises, and assignments to deepen and enhance your understanding of motivation analytics concepts and their applications in behavior and decision-making.In the first part of the course, you’ll learn the details of the objectives, introduction, meaning, and types of motivation drivers and data-driven insights, as well as the stakeholders interested in these insights. You will explore the goals of applying motivation analytics, including understanding how these drivers impact behavior and decision-making. Part 1 will cover the basics of these concepts and their influence on behavior and performance.In the middle part of the course, you’ll develop a deep understanding of motivation drivers and data-driven insights, exploring how these factors influence behavior and decision-making. You will learn how to identify and analyze these drivers, their impact on behavior and performance, and how to apply motivational insights to enhance decision-making processes and outcomes.In the final part of the course, you’ll gain knowledge on applying motivation analytics principles, understanding how motivation drivers and data-driven insights impact decision-making, and recognizing the limitations of these insights. You will receive full support, with all your queries addressed within 48 hours.Course Content:Part 1Introduction and Study Plan● Introduction and know your Instructor● Study Plan and Structure of the Course1. Introduction to Motivation Analytics2. Data Collection and Sources3. Descriptive Analytics for Motivation Assessment4. Psychometric Analysis of Motivation5. Motivation Segmentation and Profiling6. Predictive Analytics for Motivation Forecasting7. Intervention Strategies for Motivation Enhancement8. Case Studies and Real-World ApplicationsPart 2Assignments
Overview
Section 1: 1. Introduction to Motivation Analytics
Lecture 1 Introduction: Study Plan and Structure of the Course
Lecture 2 Motivation Analytics
Lecture 3 1. Introduction to Motivation Analytics
Lecture 4 1.1 Understanding Motivation
Lecture 5 1.2 Key Components of Motivation Analytics
Lecture 6 1.3 Application of Motivation Analytics
Lecture 7 1.4 Ethical Considerations
Section 2: 2. Data Collection and Sources
Lecture 8 2. Data Collection and Sources
Lecture 9 2.1 Data Collection and Sources 2
Lecture 10 2.1 Data Collection and Sources 3
Lecture 11 2.1 Data Collection and Sources 4
Section 3: 3. Descriptive Analytics for Motivation Assessment
Lecture 12 3. Descriptive Analytics for Motivation Assessment
Lecture 13 3.1 Introduction of Descriptive Analytics for Assessment 2
Lecture 14 3.1 Introduction of Descriptive Analytics for Assessment 3
Section 4: 4. Psychometric Analysis of Motivation
Lecture 15 4. Psychometric Analysis of Motivation
Lecture 16 4.1. Introduction Psychometric Analysis of Motivation
Lecture 17 4.1. Introduction Psychometric Analysis of Motivation 2
Section 5: 5. Motivation Segmentation and Profiling
Lecture 18 5. Motivation Segmentation and Profiling
Lecture 19 5.1. Introduction Motivation Segmentation and Profiling
Lecture 20 5.1. Introduction Motivation Segmentation and Profiling 2
Lecture 21 5.1. Introduction Motivation Segmentation and Profiling 3
Section 6: 6. Predictive Analytics for Motivation Forecasting
Lecture 22 6. Predictive Analytics for Motivation Forecasting
Lecture 23 6.1 Data Collection and Preparation
Lecture 24 6.2 Model Development
Lecture 25 6.3 Monitoring and Iteration
Lecture 26 6.3 Monitoring and Iteration 2
Section 7: 7. Intervention Strategies for Motivation Enhancement
Lecture 27 7. Intervention Strategies for Motivation Enhancement
Lecture 28 7.1 Feedback and Recognition
Lecture 29 7.2 Autonomy and Empowerment
Lecture 30 7.3 Intrinsic Motivation
Lecture 31 7.4 Leadership and Role Modeling
Section 8: 8. Case Studies and Real-World Applications
Lecture 32 8. Case Studies and Real-World Applications
Lecture 33 8.1 Virgin Pulse
Lecture 34 8.2 Salesforce s Motivation Index
Lecture 35 8.3 IBM s Employee Sentiment Analysis
Lecture 36 8.3 Ubers Driver Motivation Study
Lecture 37 8.5 Assessment
Section 9: Assignments
Lecture 38 Certification
Lecture 39 Assignments
Professionals with knowledge of motivation drivers and data-driven insigt to see themselves well-established ihts who wann the fundamentals of motivation analytics.,New professionals who are looking to achieve success by applying various methods of analyzing motivation drivers and data-driven insights, and incorporating these insights into their decision-making processes and behavior management,Existing executive board directors and managing directors who are looking to enhance engagement and foster innovation within their teams and organizations by applying insights from motivation analytics to understand and influence behavior and decision-making.
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