Category: Data Analytics

Data Analysis IReport Assignment : Part 1You need to complete the data analysis for the designated city.

Data Analysis IReport Assignment : Part 1You need to complete the data analysis for the designated city.

Data Analysis IReport Assignment : Part 1You need to complete the data analysis for the designated city..

_01. Python Programming

_01.2. Python Programming Tutorial :::

_01.3. This Assignment Assumes that you are familiar with

Pythons main scientific libraries

See Tutorial here :::

_01.4. Code Examples :::

Examine the Code examples below ->

open source and available online at :::

_01.5. Jupiter Notebook files :::

Open the Jupiter Notebook file – Online :::

This Assignment assumes that you are using Google Colab

click Open Colab

Watch this Video :::

How to upload and open Jupyter Notebook ipynb

File in Google Colab tutorial –

File | Upload Notebook

—

WEEK04_Assignment –

Decision Tree

***~***~***~***

_03.1. Open the Jupiter Notebook file – Online

using Google Colab :::

_03.2. Input Data file

HDHI_Admission_data.csv

***~***~***~***

—

***

Submission Instructions :::

WRITE a 500 Word Paper ( Microsoft Word Document )

Explaining Each Important Python Function

used in the above Jupiter NoteBook

for

Decision Tree Training and Testing

Include ScreenShots of Each VISUALIZATION

produced in the Jupiter Notebook

inside your Paper .

***

Task 1

After reading Overcoming the productivity challenge in product life-extending operations: a multiple-case study of European facilities (see attachment PDF) write a 7-page summary (excluding the title and reference pages) following APA 7th edition formatting guidelines. In your own words, be sure to address the following:

• Key Issues: Identify and discuss the main issues explored in the article.
• Process Framework: Identify and discuss the main activities and critical decisions organizations must about these activities.
• Research Methodology: Describe the operational analytic models utilized in the research and summarize the results.
• Critical Evaluation: Based on the model results, do you agree with the studys Proposed theoretical model? Why or why not? Additionally, suggest further recommendations based on the data that could enhance productivity.

Notes:

1. This assignment must be formatted in APA Style 7th edition and doubled spaced.
2. Be sure to reference the articles and any additional sources appropriately.
3. Please refer to the Case Study Rubric on the start here tab for this assignment.
4. All submissions will be reviewed by Turnitin to check for similarity to other sources.

Task 2

In todays evolving work environment, an increasing number of organizations operate within service-oriented models rather than producing physical products. This video introduces key concepts in service-based thinking, equipping you with the knowledge needed to develop analytical models that support service-driven organizations. By understanding these principles, you’ll be better prepared to help service leaders address operational challenges and improve customer satisfaction.

After watching Service Productivity as Profit Management and Learning:

• Develop a 4-page PowerPoint presentation (excluding the title and reference slide) in APA format.
• You must submit your presentation slides in one of the following formats:
  • 3-minute video recording of you presenting your slides or
  • Narrated voice-over embedded in the slides.

See Service Productivity Instruction document for detailed instructions for the PowerPoint assignment.

Note:

1. This assignment must be formatted in APA Style 7th edition
2. Be sure to reference the articles and any additional sources appropriately.
3. Please refer to the PowerPoint Presentation Grading Rubric on the start here tab for this assignment.
4. All submissions will be reviewed by Turnitin to check for similarity to other sources.

Developing and implementing processes to improve operational efficiency requires mastery of several core analytical skills. This video highlights how enhancing operational productivity contributes to greater efficiency.

After reviewing Improve Operational Efficiency by Doing This, discuss how operational productivity contributes to enhanced efficiency by applying the 10 identified measures. For each of the 10 efficiency measures, map and illustrate how it can be applied within specific industries or professional roles.

Notes:

1. Please refer to the discussion forum rubric on the start here tab for this assignment.
2. Discussions must be formatted in APA Style 7th edition and references cited.
3. All submissions will be reviewed by Turnitin to check for similarity to other sources. Refer to Syllabus for more information.

250 words

Your organization is evaluating the quality of its call center operations. One of the most important metrics in a call center is Time in Queue (TiQ),which is the time a customer has to wait before he/she is serviced by a Customer Service Representative (CSR). If a customer has to wait for toolong, he/she is more likely to get discouraged and hang up. Furthermore, customers who have to wait too long in the queue typically report anegative overall experience with the call. Youve conducted an exhaustive literature review and found that the average TiQ in your industry is 2.5minutes (150 seconds).Another important metric is Service Time (ST), also known as Handle Time, which is the time a CSR spends servicing the customer. CSRs withmore experience and deeper knowledge tend to resolve customer calls faster. Companies can improve average ST by providing more training totheir CSRs or even by channeling calls according to area of expertise. Last month your company had an average ST of approximately 3.5 minutes(210 seconds). In an effort to improve this metric, the company has implemented a new protocol that channels calls to CSRs based on area ofexpertise. The new protocol (PE) is being tested side-by-side with the traditional (PT) protocol.Download the Call Center Waiting Time database.Each row in the database corresponds to a different call. Column variables are as follows. ProtocolType: indicates protocol type, either PT or PE QueueTime: Time in Queue, in seconds ServiceTime: Service Time, in secondsPerform a test of hypothesis to determine whether the average TiQ is lower than the industry standard of 2.5 minutes (150 seconds). Use asignificance level =0.05.Evaluate if the company should allocate more resources to improve its average TiQ.Perform a test of hypothesis to determine whether the average ST with service protocol PE is lower than with the PT protocol. Use a significancelevel =0.05.Assess if the new protocol served its purpose. (Hint: This should be a test of means for 2 independent groups).Write a 175-word summary of your conclusions

TABLEAU project. i have finished phase 1 of this project. i need to use same topic data sets in tableau. i will keep share it as well. i need two separate named phase 2 projects, TWO SIMILAR FORMAT PROJECTS . i will upload both datasets for it. one of the phase II: NAME IS PHARMACETICAL INUDSTRIES(I WILL UPLOAD DATASET). OTHER PHASE II: NAME IS GOLD INDUSTRIES(I WILL UPLOAD DATASET AND PREVIOIS PHASE I FOR BOTH PROJECTS) Tableau software is required.In Phase II, you are to search for additional Data sets for your data sub-category and perform analyses of these.

*All borrowed or paraphrased text need to be carefully cited.

(ii.) Your Phase I was required to include written statements for Description for other related

Data to be used for subsequent Phases. Hence Phase II is to continue this Data

Visualization by using the other related Data to be used for subsequent Phases that you

described in Phase I.

(iii.) Written BACKGROUND* & detailed Description of Selected Data used for Data of

Phase II. Indication of Data sets using for Data for Phase II and Plan & Description for

other related Data to be used for subsequent Phase III and Final Project.

(iv.) Discussion of Division of Labor of Phase II for each Team member because each Team

member is to perform Data Visualizations for data sets that are not identical as those

used by other Team member(s).

(v.) Use of Tableau software for Continued work of Data Visualization by each student for

the Category of Data within the Overall Use Case Selected.

(vi.) This Continued work of Data Visualization is to utilize the new skills of Tableau

learned since Phase I that are presented in Chapters 3, 4, 5, 6 & 8 of Milligan: Learning

Tableau 2025. Chapter 3 included Stacked Bars, Treemaps, Area Charts, Dual-axis and

combination charts, etc. Chapter 5 pertains to Level of Detail (LOD). Chapter 6

pertains to Custom Table Calculations. Chapter 8 pertains to Dashboards. Your

submission should have at least 9 Figures with at least 1 figure from each of these chapters.

(vii.) Each printout of outputs generated by Tableau is to have:

Figure Number & Title, and accompanying written description. Numbers of Figures for

Phase II is to be sequential to those Figures created in Phase I or newly created in Phase

II in response to correction comments of Phase I of missing sufficient number of Figures

presented in Phase I. Figure numbering is to be 1.1, 1.2, 1.3 etc. & 2.1, 2.2, 2.3 etc.

(viii.) Written CONCLUSIONS that can be made from the Work of Data

Visualization for the Category of Data within the

Corrected Phase I & additional Phase II submitted Data Visualizations.

(ix.) Completion of Peer Evaluation Form or Phase II on reverse side of this sheet.

this the one of the dataset set link which i already uploaded and you can also download from here if any trouble. you can see the reference links in previous phase 1 and these were the reuirements for phase 1:Phase I Requirements:

(i.) Written (a.) Background & detailed (b.) Description of Selected Data used for Data

Visualization. (c.) Indication of Data sets using for Data Visualization for Phase I and Plan

& Description for other related Data to be used for subsequent Phases.

(ii.) Written Discussion of Division of Labor

(iii.) Use of Tableau software for Initial work of Visualization of the Selected Data by each

student for the Category of Data within the Overall Use Case Selected.

(iv.) Each printout of outputs generated by Tableau is to have:

(i.) Figure Number & (ii.) Title, and (iii.) accompanying written Description of Results.

(v.) Written Conclusions by each team member that can be made from the Initial work of

Visualization of the Selected Data for the Category of Data within the Data Visualization Use Case.

(vi.) Completion of Peer Evaluation Form Phase 1 is just for you to know everything. I AM LOOKING FOR PHASE 2 FOR BOTH TOPICS PLEASE. HOPE YOU UNDERSTAND.

Please do what is asked in the assignment. Provide graphs and explanation, thank you. No ai please as teacher tracks that.

Task 1 Case Study

Overview: In today business environment predicting an organizations future position is essential to maintain a competitive advantage. The assignment reviews a fictitious company with up-to-date forecasting models to enhance operations efficiencies and improvement recommendations to align with operational/business goals.

After reading Demand Forecast, up to date models and suggestions for improvement, write a 7-page summary (excluding the title and reference pages) following APA 7th edition formatting guidelines.

In your own words, be sure to address the following:

• Identify and discuss the key issues that can cause forecasting demand to fail.
• Identify the general concepts related to demand forecasting, explaining how these concepts enhance the decision-making process.
• Identify the qualitative and quantitative forecasting methods that organizations utilize in todays business operations environment. Describe each method and how they are utilized to help decision making.
• In the case study: analysis and reclamation of demand forecasting structure in XYZ company, identify the key issues related to their level of service, cost, and inventory problems.
• Develop and present a demand forecast model for XYZ Company using either actual or fictional data. You must provide the raw data in a spreadsheet format. Include at least one chart (e.g., line graph, bar chart) visualizing the forecast. To demonstrate effective analytical skills, prepare a clear written explanation describing:
  • How you would communicate the forecast results to senior leadership
  • Key insights drawn from your analysis
  • Implications of your forecast for business decisions
  • Recommended actions based on the results

Note:

1. This assignment must be formatted in APA Style 7th edition and doubled spaced.
2. Be sure to reference the articles and any additional sources appropriately.
3. Please refer to the Case Study Paper Rubric on the start here tab for this assignment.
4. All submissions will be reviewed by Turnitin to check for similarity to other sources.

Task 2 PPT

Create a recorded presentation about your Demand Forecast Models and Improvement Case Study.

This video helps as well, please watch.

.

This may be in the form of a video podcast (with visuals and narration) or an audio podcast with slides/narration. Either format is acceptable, as long as your presentation demonstrates the following:

• Content & Analysis: Defend the assumptions used in your demand forecast model. Clearly explain how your charts support your conclusions, showing thoughtful analysis and well-supported recommendations.
• Organization: Structure your presentation logically with a clear introduction, smooth transitions, and a strong conclusion.
• Delivery & Professionalism: Speak confidently and clearly, using professional tone and pacing. Aim for engaging narration with minimal filler words or distractions.
• Length: Your presentation should run 57 minutes, with thorough but concise content.

Notes:

1. Please refer to the Podcast Presentation Grade Rubric on the start here tab for this assignment.
2. Requirements: 5-7 Minutes Presentation