Category: Computer Science

  • Computer Science Question

    Summary Page

    • The summary page should be one full-length page that includes a summary of both projects. It should serve as an overview of the projects.
    • The summary page should be formatted in the same style as the project report
  • Data Science

    Hello buddy, Please I need you to help me with this task. These are the questions to solve as stated in the attachment.

  • Yes I am ready

    ICT Fundamentals Define ICT.

    ICT stands for Information and communication, technology.It includes of all technologies used for communication.




  • Computer Science Question

    • (18 mins)

    Complete a full report that is ready for publishing on the Power BI Service. In the report, you learn how to import custom visuals and add bookmarks to a report

    Once complete:

    • Be sure you are logged in using your university credentials, click your initials and take a screenshot of the popup box.
    • Expand the overview, take a screenshot of the list showing all green checks capturing your initials in the right corner and accumulated points with each screenshot.
  • Business Intelligence for Information Technology

    Professional Assignment: Analyze a dataset (provided or sourced) on consumer or social media

    behavior. Write a 46 page analysis report with visualizations.

  • Business Intelligence for Information Technology

    How should businesses balance ethical considerations when analyzing social media data?

    What insights can consumer analytics provide about sustainability and social responsibility?

  • 1 Individual Project

    Assignment Details

    Unit 8 – Individual Project (125 points)

    Due: Sun, Apr 12 |

    Description

    Assignment Details:

    Study the relevant content in the course materials and investigate the Library and Internet for information about the concepts and technologies associated with data mining and the data warehouse. Then, write a short research paper that addresses the following:

    • Use a specific example to investigate the general relationship between data mining tools and data warehousing system, especially on how the data needs to be prepared in the data warehouse before being used by a data mining tool and how the result of data mining can be put back to the data warehouse to allow more broad access or reuse.
    • Use a specific example to prove how the quality of data stored in a data warehouse will impact the result of data mining.

    List at least 5 references (textbooks can be used as references, too).

    Individual Project Rubric

    The Individual Project (IP) Grading Rubric is a scoring tool that represents the performance expectations for the IP. This Individual Project Grading Rubric is divided into components that provide a clear description of what should be included within each component of the IP. Its the roadmap that can help you in the development of your IP.

    Expectation Points Possible Points Earned Comments
    Student provides at least one example investigating the relationship between data mining tools and a data warehousing system.

    30

    Student provides an analysis on how data needs to be prepared in a data warehouse before being used in a data mining tool.

    30

    Student provides an example of how to prove the quality of data stored in a data warehouse will impact the result of data mining.

    30

    Paper contains at least 5 references.

    10

    Professional Language: Assignment contains accurate grammar, spelling, and/or punctuation with few or no errors. (APA formatting is required or style specified in assignment).

    25

    Total Points

    125

    Total Points Earned

  • it 409 solve

    • You must submit two separate copies (one Word file and one PDF file) using the Assignment Template on Blackboard via the allocated folder. These files must not be in compressed format.
    • It is your responsibility to check and make sure that you have uploaded both the correct files.
    • Zero mark will be given if you try to bypass the SafeAssign (e.g. misspell words, remove spaces between words, hide characters, use different character sets, convert text into image or languages other than English or any kind of manipulation).
    • Email submission will not be accepted.
    • You are advised to make your work clear and well-presented. This includes filling your information on the cover page.
    • You must use this template, failing which will result in zero mark.
    • You MUST show all your work, and text must not be converted into an image, unless specified otherwise by the question.
    • Late submission will result in ZERO mark.
    • The work should be your own, copying from students or other resources will result in ZERO mark.
    • Use Times New Roman font for all your answers.
  • it 407 solve project

    • You must submit two separate copies (one Word file and one PDF file) using the Assignment Template on Blackboard via the allocated folder. These files must not be in compressed format.
    • It is your responsibility to check and make sure that you have uploaded both the correct files.
    • Zero mark will be given if you try to bypass the SafeAssign (e.g. misspell words, remove spaces between words, hide characters, use different character sets, convert text into image or languages other than English or any kind of manipulation).
    • Email submission will not be accepted.
    • You are advised to make your work clear and well-presented. This includes filling your information on the cover page.
    • You must use this template, failing which will result in zero mark.
    • You MUST show all your work, and text must not be converted into an image, unless specified otherwise by the question.
    • Late submission will result in ZERO mark.
    • The work should be your own, copying from students or other resources will result in ZERO mark.
    • Use Times New Roman font for all your answers.
  • ban 202 project

    Project Instructions

    You are provided with the data set attached, and you are required to:

    • Data Cleaning and Preprocessing using Excel- Handle missing values, duplicates, and outliers, standardize hotel names, room types, and booking channels.
    • Data Analysis & Summary using Excel – Identify peak booking periods, analyze guest demographics and spending, and detect correlations between promotions and booking volume.
    • Data Visualization & Dashboard using Power BI – Occupancy rates, revenue per room, guest satisfaction, and booking source performance (website, travel agents, OTAs).
    • Business Report & Recommendations on Word document – Findings, challenges, and actionable recommendations.
    • Presentation – 10-minute summary with key charts and recommendations.