Deliverable 4: Practical Connection Assignment

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Posted on January 22, 2025
Deliverable 4: Practical Connection Assignment

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At UC, it is a priority that students are provided with strong educational programs and courses that allow them to be servant-leaders in their disciplines and communities, linking research with practice and knowledge with ethical decision-making. This assignment is a written assignment where students will demonstrate how this course research has connected and put into practice within their own career.
Assignment:
Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study. 
Requirements:
  • Provide a 500 word (or 2 pages double spaced) minimum reflection.
  • Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.
  • Share a personal connection that identifies specific knowledge and theories from this course.
  • Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment. 
  • You should not provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace.
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Disclaimer

The assignment sample provided by Assignments Consultancy is a previously completed work for another student and contains plagiarism. It is being shared only as a reference or guideline to help you understand how to structure and approach your own assignment. We do not recommend submitting it directly as your own work. You are solely responsible for ensuring the originality and integrity of the assignment you submit, and we advise using this sample only as inspiration while adhering to your institution's academic policies.

Solution

After completing the assignments and discussions, it is possible to determine where the dataset can be downloaded . The dataset can , for instance , be downloaded from Kaggle. While using a repository like Kaggle to obtain your dataset , it is obvious that not every column in a dataset is important. Therefore, data scientists should only focus on the columns that might help solve their research problem. After determining the dataset, the dataset should be loaded to a location where data will be applied. D ata scientists can utilize different compiler s , including Python, Tableau, Jupyter , RStudio, and RapidMiner.

It is crucial to determine the dataset's content after loading it into a working environment , which determines the columns in the dataset and the rows . The identified columns should be scanned to determine whether there are any null values to replace with 0 or whether the text is entirely in uppercase or lowercase. To identify outliers in the dataset , linear regression should be used and get rid of those outliers that may impact the correctness of the created model. It is as well essential to rename columns to enhance readability and constituency.

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