the video is called or by sci universe unboxed it dost let share the video but is talking about positive psychology. is a guy with glasses talking in not sure if youre able to find the video . I was able to take some screenshots if you can look up for the video
Author: admin
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Data Analytics Question
I uploaded the files which contains the Exercise and the other files to solve it.
Please adhere to the following:
1- Do not use artificial intelligence, as the university detects its use and has Turnitin.
2- Do not duplicate assignments from other students.
3- Submit within the specified timeframe; I have chosen 4 days.
Delivering Performance Excellence (DPE): Business Analytics
Business Analytics Assessment: Individual Assignment
Mark: 35% of DPE Module marks
Submission date: 5th March 2026
Required: Business Analytics Report
Format: 1500-2000 words (Excluding graphs and charts) based on the guidelines below.
I. Assignment Brief
This assignment requires you to produce an academically grounded business analytics report.
You are required to select one dataset from the pool of datasets provided on the assignment
Loop submission link. All datasets have been sourced from open-access repositories and are
approved for use for educational purposes only.
Choose a dataset that aligns with an industry sector of interest to you (e.g. Healthcare
Management, Human Resources, Marketing, Inventory Management, Transport, Education,
etc.). Your role is to identify a business problem or opportunity that can be addressed
analytically using the variables available in the selected dataset.
Your task is to conduct the appropriate analytics processes to address the identified problem or
opportunity and to present your findings in a business analytics report.
In brief, a business analytics report is a structured document that presents data-driven insights to
inform business decision-making. Using your chosen dataset, you are required to conduct descriptive,
predictive, and prescriptive analytics.
1. 2. II. Analytics Report Framework
1. Organisational Context and Decision Challenge (20%)
This section must demonstrate that the analytics work is grounded in a business need. You should
include:
Industry Context: Introduce the sector and explain the relevance of the dataset to a real
industry setting.
Decision Problem or Strategic Opportunity: Clearly define the business problem or
opportunity. Business Value and Strategic Importance: Explain why this issue matters and what
organisational value is sought (e.g., efficiency, growth, risk mitigation, optimisation).
Analytics Objectives and Key Questions: Frame clear, data-answerable business questions
aligned with the decision challenge.
2. Working with Data and Analytical Design (20%)
This section must demonstrate the use of the dataset to answer the business questions, not just
technical execution. You should include:
Dataset Overview and Variable Classification: Identify key predictors (independent variables)
and targets (dependent variables).
Data Exploration and Assumptions: Discuss patterns, outliers, and potential limitations.
Data Preparation and Transformation: Explain cleaning steps and justification.
Analytical Approach and Justification: Describe why specific descriptive, predictive, and
prescriptive techniques were selected (you can limit the techniques to those taught in class).
3. Analytical Execution and Evidence (30%)
This section presents the analytic process and techniques in a structured analytical output.
Descriptive steps and insights
Predictive modelling results
Prescriptive analysis and decision scenarios
Analytics Dashboard: All key charts, tables, and visualisations must be presented together.
Each visual must include a short managerial insight statement.
4. Critical Evaluation and Managerial Insight (20%)
This section discusses your evaluation of the results.
Interpretation of results
Discussion of reliability, assumptions, risks, and limitations.
Managerial implications
Demonstrate how analytical outputs are combined with your industry understanding to inform
decisions.
5. Recommendations and Decision Communication (5%)
This section translates your analysis into action.
Actionable recommendations
Expected organisational impact
Implementation considerations
6. Housekeeping (5%)
Harvard or APA referencing (include DOIs where available)
Logical structure and coherent argumentation
Table of contents
Professional presentation of dashboard and appendices
II. Minimum Requirements for Technical Analytics
1. Descriptive Analytics
a) Select four (4) variables from the dataset and formulate four (4) descriptive analytics
questions that are relevant to your stated business problem.
b) Produce data visualisations to support your descriptive analysis and summary statistics.c) Each visualisation must include a brief insight statement explaining what the visual shows
and what decision or action it may inform.
All descriptive analytics visualisations should be compiled and presented together in an
analytics dashboard.
2. Predictive Analytics
Formulate and analyse at least one (1) predictive analytics question. Explain how the results of the
analysis could influence or support the business decision or action.
3. Prescriptive Analytics
Formulate and analyse at least one (1) prescriptive analytics question. Clearly explain how the
resulting recommendation would change or improve the business decision or action.
Notes:
1. 2. 3. Academic work at MSc level is expected to demonstrate independent research and critical
judgement, supported by academic evidence and reputable third-party sources. Please use the
Harvard or APA referencing style throughout your work.
A wide range of relevant peer-reviewed journal articles covering all areas of analytics is
available and should be consulted where appropriate.
Plagiarism will not be tolerated. All sources must be properly acknowledged in accordance
with the chosen referencing style
Requirements:
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Slo essay
class name: Intro to Hr/peoplesoft applications Assignment Instructions: As we wrap up the course, take time to reflect on your personal journey and learning experience by completing the SLO Essay Project. This is your opportunity to express how the course has impacted you and to demonstrate thoughtful reflection about your academic and professional growth. Your essay should cover the following topics: Essay Prompts: Why did you choose to take this course? Share your personal or academic reasons. How does this course connect to your future goals? What did you find most and least valuable? Reflect honestly on what information stood out to you. What aspects helped you grow? What felt less relevant? How will this course benefit you moving forward? Can you apply any of the knowledge or skills in your career or life? Consider how these might look on a resume, in a job interview, or as part of your skill set. Final Thought: Make it YOU. This essay is all about your experiencebe creative, reflective, and have fun sharing your perspective! Formatting Guidelines: Minimum 2 full pages 12-point font, Times New Roman Double-spaced Use proper grammar and complete sentences -
Data Analytics Question
I uploaded the files which contains the Exercise and the other files to solve it.
Please adhere to the following:
1- Do not use artificial intelligence, as the university detects its use and has Turnitin.
2- Do not duplicate assignments from other students.
3- Submit within the specified timeframe,I have chosen four days.
Format: 1500-2000 words (Excluding graphs and charts) based on the guidelines below.
I. Assignment Brief
This assignment requires you to produce an academically grounded business analytics report.
You are required to select one dataset from the pool of datasets provided on the assignment
Loop submission link. All datasets have been sourced from open-access repositories and are
approved for use for educational purposes only.
Choose a dataset that aligns with an industry sector of interest to you (e.g. Healthcare
Management, Human Resources, Marketing, Inventory Management, Transport, Education,
etc.). Your role is to identify a business problem or opportunity that can be addressed
analytically using the variables available in the selected dataset.
Your task is to conduct the appropriate analytics processes to address the identified problem or
opportunity and to present your findings in a business analytics report.
In brief, a business analytics report is a structured document that presents data-driven insights to
inform business decision-making. Using your chosen dataset, you are required to conduct descriptive,
predictive, and prescriptive analytics.
1. 2. II. Analytics Report Framework
1. Organisational Context and Decision Challenge (20%)
This section must demonstrate that the analytics work is grounded in a business need. You should
include:
Industry Context: Introduce the sector and explain the relevance of the dataset to a real
industry setting.
Decision Problem or Strategic Opportunity: Clearly define the business problem or
opportunity. Business Value and Strategic Importance: Explain why this issue matters and what
organisational value is sought (e.g., efficiency, growth, risk mitigation, optimisation).
Analytics Objectives and Key Questions: Frame clear, data-answerable business questions
aligned with the decision challenge.
2. Working with Data and Analytical Design (20%)
This section must demonstrate the use of the dataset to answer the business questions, not just
technical execution. You should include:
Dataset Overview and Variable Classification: Identify key predictors (independent variables)
and targets (dependent variables).
Data Exploration and Assumptions: Discuss patterns, outliers, and potential limitations.
Data Preparation and Transformation: Explain cleaning steps and justification.
Analytical Approach and Justification: Describe why specific descriptive, predictive, and
prescriptive techniques were selected (you can limit the techniques to those taught in class).
3. Analytical Execution and Evidence (30%)
This section presents the analytic process and techniques in a structured analytical output.
Descriptive steps and insights
Predictive modelling results
Prescriptive analysis and decision scenarios
Analytics Dashboard: All key charts, tables, and visualisations must be presented together.
Each visual must include a short managerial insight statement.
4. Critical Evaluation and Managerial Insight (20%)
This section discusses your evaluation of the results.
Interpretation of results
Discussion of reliability, assumptions, risks, and limitations.
Managerial implications
Demonstrate how analytical outputs are combined with your industry understanding to inform
decisions.
5. Recommendations and Decision Communication (5%)
This section translates your analysis into action.
Actionable recommendations
Expected organisational impact
Implementation considerations
6. Housekeeping (5%)
Harvard or APA referencing (include DOIs where available)
Logical structure and coherent argumentation
Table of contents
Professional presentation of dashboard and appendices
II. Minimum Requirements for Technical Analytics
1. Descriptive Analytics
a) Select four (4) variables from the dataset and formulate four (4) descriptive analytics
questions that are relevant to your stated business problem.
b) Produce data visualisations to support your descriptive analysis and summary statistics.c) Each visualisation must include a brief insight statement explaining what the visual shows
and what decision or action it may inform.
All descriptive analytics visualisations should be compiled and presented together in an
analytics dashboard.
2. Predictive Analytics
Formulate and analyse at least one (1) predictive analytics question. Explain how the results of the
analysis could influence or support the business decision or action.
3. Prescriptive Analytics
Formulate and analyse at least one (1) prescriptive analytics question. Clearly explain how the
resulting recommendation would change or improve the business decision or action.
Notes:
1. 2. 3. Academic work at MSc level is expected to demonstrate independent research and critical
judgement, supported by academic evidence and reputable third-party sources. Please use the
Harvard or APA referencing style throughout your work.
A wide range of relevant peer-reviewed journal articles covering all areas of analytics is
available and should be consulted where appropriate.
Plagiarism will not be tolerated. All sources must be properly acknowledged in accordance
with the chosen referencing style
Requirements:
-
Long Answer Questions
Part II. Longer Answer Questions (responses should be roughly a couple of detailed paragraphs). Be sure not only to state the main ideas and arguments but to explain them in specific detail. Examples help to illustrate your understanding. FOUR questions will be on the exam (that I select) and students will have to answer all four questions. (Students should be sure to answer all four questions so as not to lose substantial points!) 1. Define Subjective Ethical Relativism and explain how it differs from Ethical Objectivism and Conventional Relativism. Identify some strengths or appeals of the theory. Finally, explain two critiques Pojman makes against subjective relativism. Use an example to illustrate the criticisms. 2. Define Conventional Ethical Relativism and explain how it differs from Ethical Objectivism and Subjection Relativism. Next, identify some strengths or appeals of the theory. Select one of the main criticisms of Conventional Ethical Relativism and explain the argument in detail. Use an example or two that help to illustrate the criticism. 3. Define Psychological Egoism (as opposed to Ethical Egoism) and then explain the argument from Self-Satisfaction that is used to support it. What is the critique of this argument? Use an example to illustrate the critique. 4. Identify some of the main ideas of Ayn Rands virtue of selfishness. Summarize the main argument in support of her Ethical Egoism. What are two main criticisms of Rands egoism? Use an example to illustrate one of the criticisms. 5. Explain Hobbess theory of the state of nature. What are the consequences of this state? Next explain how social contract theory provides a solution to it. Be specific in showing why accepting this solution makes the most rational sense for an egoist. 6. What are Mills position regarding the morality of an action in its relation to: (a) self-sacrifice, (b) motive, and (c) that it takes too long to calculate which action will lead to greatest happiness. Again, use examples to illustrate the claims Mill makes. Finally, explain some critiques that can be made against these claims?Attached Files (PDF/DOCX): Link for text book.pdf, EthicalTheory2CReviewSheet2CExam2312CSpring262CWB.pdf
Note: Content extraction from these files is restricted, please review them manually.
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Lunch-and-Learn
Prepare a 6 slide PowerPoint presentation for a lunch-and-learn.
As you prepare for your career, it’s important to learn and show a basic understanding of the key ethical ideas related to healthcare management. These ethical principles need to be woven into every part of an organization to help handle tough situations in management, leadership, planning, and decision-making.
You should also know how personal values connect to ethical management. Having moral integrity, which means doing the right thing, is key to professional actions and can lead to successful business outcomes. However, personal ethical challenges might make it hard to stay a consistent moral leader over time. This is why creating your own moral guidelines and knowing your ethical limits can help guide your career.
Some of the most common ethical principles used by healthcare leaders are autonomy (respecting individual choices), beneficence (doing good), nonmaleficence (avoiding harm), and justice (fairness). Good managers use these principles to prevent and solve problems in all areas of the business.
While these principles might seem easy to understand, the real challenge for healthcare leaders is knowing how to apply them correctly. An effective leader builds knowledge and skills in ethical leadership by watching others, practicing, and reflecting on experiences and outcomes. The constant changes in our healthcare system offer ongoing opportunities to develop moral leadership qualities. Each part of the healthcare system has different needs and situations related to these ethical principles, but some applications are the same everywhere.
As a new leader, you’ve decided to prepare a 30-minute lunch-and-learn agenda to give to healthcare managers to cover the topic of ethical theories and principles. Explain the relationship between personal integrity and ethical leadership, and between ethical leadership and positive organizational outcomes. Use the ethical principles of autonomy, beneficence, nonmaleficence, and justice and how these principles guide ethical healthcare leadership practices.
As a part of the lunch-and-learn, you decided to bring a food item to share from your heritage or culture.
Agenda
Introduction:
- Welcome and introduction to the lunch-and-learn session.
- Share the food item you brought, explain how it reflects something about your heritage or culture, and tie it to one of the ethical theories and principles in healthcare leadership (autonomy, beneficence, nonmaleficence, or justice).
- Give a brief overview of the importance of ethical theories and principles in healthcare leadership.
Personal Integrity and Ethical Leadership:
- Explore the significance of personal integrity as a foundation for ethical leadership in healthcare.
- Explore how ethical leadership contributes to fostering a culture of diversity, equity, and inclusion within healthcare organizations.
Ethical Principles in Healthcare:
- Provide an overview of the four selected ethical principlesautonomy, beneficence, nonmaleficence, and justice.
Group Discussion on Chosen Ethical Principle:
- Provide real-world examples of the chosen ethical principlesautonomy, beneficence, nonmaleficence, or justice.
Impact on Healthcare Leadership Practices:
- Highlight the broader implications of applying ethical principles in healthcare leadership.
- Address potential challenges and benefits of integrating ethical principles into decision-making processes.
Conclusion:
- Summarize key takeaways from the session.
- Audio recording of agenda is NOT required.
- Include a title slide and references slide.
- Include 68 slides.
- Note: Use the Notes section of each slide to expand the points on the slide. If you need help doing this, refer to .
- Include at least three current scholarly or professional resources. For help searching for resources, see the .
- Use APA formatting for citations and references.
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Time series and forecasting / : multiple regression analysis
I only need the task:
A3.The Confounding Test (10 marks)
A4. Multicollinearity Check (15 marks)
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ds 2
Requirements: 500-600
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ct 1
Requirements: 5-6 pages
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need some to do my discussion
The topic for week 12 is gene expression. Despite the occasional controversy, the use of stem cells in science and medicine is increasingly important and widespread, and thus it is important to understand their basic characteristics, types, sources, and applications.
This case study tells the story of “Carl,” a high school football player with an injured knee. His doctor recommends the use of stem cells in his recovery, and by reading their conversation, you will acquire basic knowledge about stem cells that you can then apply in a series of activities.
The first activity has you choose a stem cell type and use PubMed and ClinicalTrials.gov to practice basic research skills. You will then consider the options available to Carl and conclude the case by working on a “whodunit” scenario in which you must identify the kind of cells used in the treatment of another patient at the hospital.
Part A
Three C’s (Content, Concern, Connection)
Content: Pick something from this case study that stood out to you in some way. It could be something new you learned, something that made you think about this subject in a different way, or something you found interesting. Share the content you chose with the class and explain why you chose it.
Concern, or question: After reviewing this case study, what is one question or concern this content raised in your mind? This could be something that didn’t settle well with you, a question you have for future research or consideration, or something you’d like to know more about. Share this concern with the class and explain why you chose it.
Connection: Why is the content in this case study important? How does it relate to the real world and/or why is this case study important? You could draw upon real world examples like something you read in the news recently, something from your favorite TV show, or any other form of connection between this case study and the importance of its content outside the classroom.
Part B
Then, from the case study, answer the following questions:
- Part I: Answer questions 1, 2, and 3
- Part II: Answer questions 1, 2, and 3
- Part III: Answer questions 1, 2, and 3
- Part IV: Answer questions 1 and 2
- Review Parts V and VI
- Part VII: Answer questions 1, 2, and 3
Requirements: no long
- Part I: Answer questions 1, 2, and 3