Category: Supply Chain

SCM1007 – Applied Learning Project
Professional Development Assignment #2

The purpose of this assignment is to help you research supply chain management related designations and continuing learning that will be available to you after you graduate from Cambrian.
Task
Spend some time researching some of the various designations and continuing learning that are available to you after graduation:
Complete the chart below comparing some of the designations.
List and briefly explain some of the other options that are available for continuing education that might help you in a supply chain management career. This could designations not listed above, global designations, college or university courses, learning modules, or association memberships.
Summarize in 2-3 paragraphs which designations or continuing learning you plan to pursue after graduation (if any). Explain your plan and why you think this is the best strategy currently for your career.
SCMP Designation
APICS Designations (CPIM, CSCP, CLTD)
ISM’s Certified Professional in Supply Management (CPSM, CPSD)
Six Sigma (an example of many companies who offer training)
List of Various Supply Chain Certifications and Designations
SCMP
APICS
ISM
Six Sigma

Detailed Description

Requirements
(Entry or to Complete)

Cost

Expected Duration

Benefits

Links to 3 Job Postings (where designation is mentioned)

Additional Option #1 –
Additional Option #2 –
Additional Option #3 –
Due: Friday, February 9th

Summary of Continuing Learning Activity
Marks

Chart Summary of Designations (5 marks each).
/ 20

Summary of Additional Option
/ 10

Summary of Personal Plan
/ 10

TOTAL
/ 40

Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!

Step 1: Understand the Purpose of the Assignment

The goal of this assignment is to help you explore professional designations and continuing education options in the field of supply chain management. By researching and comparing different certifications, you will be better prepared to plan your career after graduation.

Step 2: Conduct Thorough Research

1. Identify Reliable Sources: Use official websites for supply chain organizations, university course catalogs, and professional associations.
2. Gather Key Information: Focus on the purpose, eligibility, costs, benefits, and career advantages of each certification or learning opportunity.

Step 3: Complete the Comparison Chart

Create a table to compare various designations. Include the following columns:

• Designation Name (e.g., SCMP, CPIM, CSCP, CPSM, Six Sigma, etc.)
• Issuing Organization (e.g., APICS, ISM, Supply Chain Canada, etc.)
• Eligibility Requirements (e.g., work experience, educational background, exam requirements)
• Key Benefits (e.g., career advancement, salary increase, industry recognition)
• Cost & Time Commitment (e.g., exam fees, required courses, study time)

Step 4: Explore Additional Continuing Education Options

In addition to the major certifications, research other educational paths that can enhance your supply chain management career. Consider:

• Global Certifications: Look into international designations that may benefit your career.
• University or College Courses: Identify specialized courses or programs in logistics, procurement, or supply chain strategy.
• Learning Modules and Online Training: Explore flexible online programs that provide relevant skills.
• Association Memberships: Research industry organizations that offer networking and professional development opportunities.

Step 5: Write a Summary of Your Plan

In 2-3 paragraphs, outline your personal plan for post-graduation professional development:

1. Which designations or courses interest you most? Explain why they align with your career goals.
2. How do they fit into your career strategy? Describe how these certifications will help you gain skills, improve employability, or secure a desired role.
3. Any concerns or alternative options? Mention if you are still exploring options or considering multiple paths.

Step 6: Proofread and Format Your Paper

• Ensure clarity and conciseness in your writing.
• Use proper headings and bullet points where appropriate.
• Check for grammar and spelling errors before submission.

By following this structured approach, you will efficiently complete your assignment with a well-researched and professionally written paper!

The Assignment must be submitted on Blackboard (WORD format only) via allocated folder.
Assignments submitted through email will not be accepted.
Students are advised to make their work clear and well presented, marks may be reduced for poor presentation. This includes filling your information on the cover page.
Students must mention question number clearly in their answer.
Late submission will NOT be accepted.
Avoid plagiarism, the work should be in your own words, copying from students or other resources without proper referencing will result in ZERO marks. No exceptions.
All answered must be typed using Times New Roman (size 12, double-spaced) font. No pictures containing text will be accepted and will be considered plagiarism).

I CAN SUPPLY DATA SET VIA EXCEL
You are a real estate and property management business analyst in a big city. Your company’s leadership team supports building reasonably priced housing in areas that have well-performing schools with low school dropout rates (home price and dropout rate are the key factors). You wish to commission a consulting team of business and data analysts to build a full dashboard that will address the best locations for new construction projects within the five boroughs of the city based on the company’s mission and various performance metrics.
You decide to build a basic prototype model of the dashboard using the home price and dropout rate data for one borough. This prototype model will help you explain the project to your company’s leadership before you meet with the consultants who will build the full dashboard with many other predictive factors. You also want to be able to clearly report a data story about the project to the leadership team using your prototype.
To ensure you understand the data that will be included in the dashboard model, you will first need to connect your Excel data with Tableau and look at it visually.
Use the provided “D466 Task 1 Data Set” to complete this task.
Provided model data for the borough:
average three-bedroom home prices by year
average dropout % by year
Requirements
Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide.
You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.
Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).
A. Describe the two main factors—home price and dropout rate—in the scenario.
1. Explain, using data from the “D466 Task 1 Data Set,” the current state of home prices.
a. Use Tableau to create an appropriate data visualization that shows the current state of home prices.
b. Identify one design technique you used in the visualization from part A1a and explain how it addresses a common accessibility issue.
c. Identify one design technique different than the one identified in part A1b and explain how it contributes to effective representation of the information in the data set.
2. Explain, using data from the “D466 Task 1 Data Set,” how a change in school dropout rates would affect home prices.
a. Use Tableau to create an appropriate data visualization that shows how a change in school dropout rates (independent variable) would affect home prices (dependent variable).
b. Identify one design technique you used in the visualization from part A2a and explain how it addresses a common accessibility issue.
c. Identify one different design technique than the one used in part A2b and explain how it contributes to effective representation of the information in the data set.

I CAN SUPPLY DATA SET VIA EXCEL
You are a real estate and property management business analyst in a big city. Your company’s leadership team supports building reasonably priced housing in areas that have well-performing schools with low school dropout rates (home price and dropout rate are the key factors). You wish to commission a consulting team of business and data analysts to build a full dashboard that will address the best locations for new construction projects within the five boroughs of the city based on the company’s mission and various performance metrics.
You decide to build a basic prototype model of the dashboard using the home price and dropout rate data for one borough. This prototype model will help you explain the project to your company’s leadership before you meet with the consultants who will build the full dashboard with many other predictive factors. You also want to be able to clearly report a data story about the project to the leadership team using your prototype.
To ensure you understand the data that will be included in the dashboard model, you will first need to connect your Excel data with Tableau and look at it visually.
Use the provided “D466 Task 1 Data Set” to complete this task.
Provided model data for the borough:
average three-bedroom home prices by year
average dropout % by year
Requirements
Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide.
You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.
Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).
A. Describe the two main factors—home price and dropout rate—in the scenario.
1. Explain, using data from the “D466 Task 1 Data Set,” the current state of home prices.
a. Use Tableau to create an appropriate data visualization that shows the current state of home prices.
b. Identify one design technique you used in the visualization from part A1a and explain how it addresses a common accessibility issue.
c. Identify one design technique different than the one identified in part A1b and explain how it contributes to effective representation of the information in the data set.
2. Explain, using data from the “D466 Task 1 Data Set,” how a change in school dropout rates would affect home prices.
a. Use Tableau to create an appropriate data visualization that shows how a change in school dropout rates (independent variable) would affect home prices (dependent variable).
b. Identify one design technique you used in the visualization from part A2a and explain how it addresses a common accessibility issue.
c. Identify one different design technique than the one used in part A2b and explain how it contributes to effective representation of the information in the data set.

I CAN SUPPLY DATA SET VIA EXCEL
You are a real estate and property management business analyst in a big city. Your company’s leadership team supports building reasonably priced housing in areas that have well-performing schools with low school dropout rates (home price and dropout rate are the key factors). You wish to commission a consulting team of business and data analysts to build a full dashboard that will address the best locations for new construction projects within the five boroughs of the city based on the company’s mission and various performance metrics.
You decide to build a basic prototype model of the dashboard using the home price and dropout rate data for one borough. This prototype model will help you explain the project to your company’s leadership before you meet with the consultants who will build the full dashboard with many other predictive factors. You also want to be able to clearly report a data story about the project to the leadership team using your prototype.
To ensure you understand the data that will be included in the dashboard model, you will first need to connect your Excel data with Tableau and look at it visually.
Use the provided “D466 Task 1 Data Set” to complete this task.
Provided model data for the borough:
average three-bedroom home prices by year
average dropout % by year
Requirements
Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide.
You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.
Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).
A. Describe the two main factors—home price and dropout rate—in the scenario.
1. Explain, using data from the “D466 Task 1 Data Set,” the current state of home prices.
a. Use Tableau to create an appropriate data visualization that shows the current state of home prices.
b. Identify one design technique you used in the visualization from part A1a and explain how it addresses a common accessibility issue.
c. Identify one design technique different than the one identified in part A1b and explain how it contributes to effective representation of the information in the data set.
2. Explain, using data from the “D466 Task 1 Data Set,” how a change in school dropout rates would affect home prices.
a. Use Tableau to create an appropriate data visualization that shows how a change in school dropout rates (independent variable) would affect home prices (dependent variable).
b. Identify one design technique you used in the visualization from part A2a and explain how it addresses a common accessibility issue.
c. Identify one different design technique than the one used in part A2b and explain how it contributes to effective representation of the information in the data set.

I CAN SUPPLY DATA SET VIA EXCEL
You are a real estate and property management business analyst in a big city. Your company’s leadership team supports building reasonably priced housing in areas that have well-performing schools with low school dropout rates (home price and dropout rate are the key factors). You wish to commission a consulting team of business and data analysts to build a full dashboard that will address the best locations for new construction projects within the five boroughs of the city based on the company’s mission and various performance metrics.
You decide to build a basic prototype model of the dashboard using the home price and dropout rate data for one borough. This prototype model will help you explain the project to your company’s leadership before you meet with the consultants who will build the full dashboard with many other predictive factors. You also want to be able to clearly report a data story about the project to the leadership team using your prototype.
To ensure you understand the data that will be included in the dashboard model, you will first need to connect your Excel data with Tableau and look at it visually.
Use the provided “D466 Task 1 Data Set” to complete this task.
Provided model data for the borough:
average three-bedroom home prices by year
average dropout % by year
Requirements
Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide.
You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.
Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).
A. Describe the two main factors—home price and dropout rate—in the scenario.
1. Explain, using data from the “D466 Task 1 Data Set,” the current state of home prices.
a. Use Tableau to create an appropriate data visualization that shows the current state of home prices.
b. Identify one design technique you used in the visualization from part A1a and explain how it addresses a common accessibility issue.
c. Identify one design technique different than the one identified in part A1b and explain how it contributes to effective representation of the information in the data set.
2. Explain, using data from the “D466 Task 1 Data Set,” how a change in school dropout rates would affect home prices.
a. Use Tableau to create an appropriate data visualization that shows how a change in school dropout rates (independent variable) would affect home prices (dependent variable).
b. Identify one design technique you used in the visualization from part A2a and explain how it addresses a common accessibility issue.
c. Identify one different design technique than the one used in part A2b and explain how it contributes to effective representation of the information in the data set.

I CAN SUPPLY DATA SET VIA EXCEL
You are a real estate and property management business analyst in a big city. Your company’s leadership team supports building reasonably priced housing in areas that have well-performing schools with low school dropout rates (home price and dropout rate are the key factors). You wish to commission a consulting team of business and data analysts to build a full dashboard that will address the best locations for new construction projects within the five boroughs of the city based on the company’s mission and various performance metrics.
You decide to build a basic prototype model of the dashboard using the home price and dropout rate data for one borough. This prototype model will help you explain the project to your company’s leadership before you meet with the consultants who will build the full dashboard with many other predictive factors. You also want to be able to clearly report a data story about the project to the leadership team using your prototype.
To ensure you understand the data that will be included in the dashboard model, you will first need to connect your Excel data with Tableau and look at it visually.
Use the provided “D466 Task 1 Data Set” to complete this task.
Provided model data for the borough:
average three-bedroom home prices by year
average dropout % by year
Requirements
Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide.
You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.
Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).
A. Describe the two main factors—home price and dropout rate—in the scenario.
1. Explain, using data from the “D466 Task 1 Data Set,” the current state of home prices.
a. Use Tableau to create an appropriate data visualization that shows the current state of home prices.
b. Identify one design technique you used in the visualization from part A1a and explain how it addresses a common accessibility issue.
c. Identify one design technique different than the one identified in part A1b and explain how it contributes to effective representation of the information in the data set.
2. Explain, using data from the “D466 Task 1 Data Set,” how a change in school dropout rates would affect home prices.
a. Use Tableau to create an appropriate data visualization that shows how a change in school dropout rates (independent variable) would affect home prices (dependent variable).
b. Identify one design technique you used in the visualization from part A2a and explain how it addresses a common accessibility issue.
c. Identify one different design technique than the one used in part A2b and explain how it contributes to effective representation of the information in the data set.

I CAN SUPPLY DATA SET VIA EXCEL
You are a real estate and property management business analyst in a big city. Your company’s leadership team supports building reasonably priced housing in areas that have well-performing schools with low school dropout rates (home price and dropout rate are the key factors). You wish to commission a consulting team of business and data analysts to build a full dashboard that will address the best locations for new construction projects within the five boroughs of the city based on the company’s mission and various performance metrics.
You decide to build a basic prototype model of the dashboard using the home price and dropout rate data for one borough. This prototype model will help you explain the project to your company’s leadership before you meet with the consultants who will build the full dashboard with many other predictive factors. You also want to be able to clearly report a data story about the project to the leadership team using your prototype.
To ensure you understand the data that will be included in the dashboard model, you will first need to connect your Excel data with Tableau and look at it visually.
Use the provided “D466 Task 1 Data Set” to complete this task.
Provided model data for the borough:
average three-bedroom home prices by year
average dropout % by year
Requirements
Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide.
You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.
Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).
A. Describe the two main factors—home price and dropout rate—in the scenario.
1. Explain, using data from the “D466 Task 1 Data Set,” the current state of home prices.
a. Use Tableau to create an appropriate data visualization that shows the current state of home prices.
b. Identify one design technique you used in the visualization from part A1a and explain how it addresses a common accessibility issue.
c. Identify one design technique different than the one identified in part A1b and explain how it contributes to effective representation of the information in the data set.
2. Explain, using data from the “D466 Task 1 Data Set,” how a change in school dropout rates would affect home prices.
a. Use Tableau to create an appropriate data visualization that shows how a change in school dropout rates (independent variable) would affect home prices (dependent variable).
b. Identify one design technique you used in the visualization from part A2a and explain how it addresses a common accessibility issue.
c. Identify one different design technique than the one used in part A2b and explain how it contributes to effective representation of the information in the data set.

I CAN SUPPLY DATA SET VIA EXCEL
You are a real estate and property management business analyst in a big city. Your company’s leadership team supports building reasonably priced housing in areas that have well-performing schools with low school dropout rates (home price and dropout rate are the key factors). You wish to commission a consulting team of business and data analysts to build a full dashboard that will address the best locations for new construction projects within the five boroughs of the city based on the company’s mission and various performance metrics.
You decide to build a basic prototype model of the dashboard using the home price and dropout rate data for one borough. This prototype model will help you explain the project to your company’s leadership before you meet with the consultants who will build the full dashboard with many other predictive factors. You also want to be able to clearly report a data story about the project to the leadership team using your prototype.
To ensure you understand the data that will be included in the dashboard model, you will first need to connect your Excel data with Tableau and look at it visually.
Use the provided “D466 Task 1 Data Set” to complete this task.
Provided model data for the borough:
average three-bedroom home prices by year
average dropout % by year
Requirements
Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide.
You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.
Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).
A. Describe the two main factors—home price and dropout rate—in the scenario.
1. Explain, using data from the “D466 Task 1 Data Set,” the current state of home prices.
a. Use Tableau to create an appropriate data visualization that shows the current state of home prices.
b. Identify one design technique you used in the visualization from part A1a and explain how it addresses a common accessibility issue.
c. Identify one design technique different than the one identified in part A1b and explain how it contributes to effective representation of the information in the data set.
2. Explain, using data from the “D466 Task 1 Data Set,” how a change in school dropout rates would affect home prices.
a. Use Tableau to create an appropriate data visualization that shows how a change in school dropout rates (independent variable) would affect home prices (dependent variable).
b. Identify one design technique you used in the visualization from part A2a and explain how it addresses a common accessibility issue.
c. Identify one different design technique than the one used in part A2b and explain how it contributes to effective representation of the information in the data set.

I CAN SUPPLY DATA SET VIA EXCEL
You are a real estate and property management business analyst in a big city. Your company’s leadership team supports building reasonably priced housing in areas that have well-performing schools with low school dropout rates (home price and dropout rate are the key factors). You wish to commission a consulting team of business and data analysts to build a full dashboard that will address the best locations for new construction projects within the five boroughs of the city based on the company’s mission and various performance metrics.
You decide to build a basic prototype model of the dashboard using the home price and dropout rate data for one borough. This prototype model will help you explain the project to your company’s leadership before you meet with the consultants who will build the full dashboard with many other predictive factors. You also want to be able to clearly report a data story about the project to the leadership team using your prototype.
To ensure you understand the data that will be included in the dashboard model, you will first need to connect your Excel data with Tableau and look at it visually.
Use the provided “D466 Task 1 Data Set” to complete this task.
Provided model data for the borough:
average three-bedroom home prices by year
average dropout % by year
Requirements
Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The similarity report that is provided when you submit your task can be used as a guide.
You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.
Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).
A. Describe the two main factors—home price and dropout rate—in the scenario.
1. Explain, using data from the “D466 Task 1 Data Set,” the current state of home prices.
a. Use Tableau to create an appropriate data visualization that shows the current state of home prices.
b. Identify one design technique you used in the visualization from part A1a and explain how it addresses a common accessibility issue.
c. Identify one design technique different than the one identified in part A1b and explain how it contributes to effective representation of the information in the data set.
2. Explain, using data from the “D466 Task 1 Data Set,” how a change in school dropout rates would affect home prices.
a. Use Tableau to create an appropriate data visualization that shows how a change in school dropout rates (independent variable) would affect home prices (dependent variable).
b. Identify one design technique you used in the visualization from part A2a and explain how it addresses a common accessibility issue.
c. Identify one different design technique than the one used in part A2b and explain how it contributes to effective representation of the information in the data set.