GSDM7514 Excel Data Analysis – Descriptive & Predictive Analytics Guide

School

UNITAR International University (UIU)

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Assignment Type

Individual Assignment

Subject

GSDM7514 Business Analytics

Uploaded by Malaysia Assignment Help

Date

03/26/2025

Assignment 1 (Introduction to Data Analysis Using Excel) – 30%

Start: Week 2

Due Date/s: Week 4

Learning Outcome/s:

  • Learn to structure, clean, and manipulate datasets for analysis in Excel.
  • Apply statistical functions, pivot tables, and data analysis tools to extract meaningful insights.
  • Create charts and graphs to visualize data, and present findings clearly and professionally.

Module 1: Introduction to Reporting in Excel

Scenario

This “Employee’s Annual Salary” dataset consists of 2000 employees and includes quantitative and qualitative variables related to employee salary, performance, and workplace characteristics. The dataset is structured as follows:

Column Descriptions

Attribute Description
Gender Employee gender (Male, Female)
Job Role Type of job (e.g., Manager, Developer, HR Specialist)
Department Business function (e.g., IT, Sales, HR)
Salary Employee’s annual salary
Years of Experience Total years of work experience
Education Level Employee’s highest level of education (Diploma, Bachelor’s, Master’s, PhD)
Projects Completed Number of projects completed by the employee
Work Mode Work arrangement (Remote, On-site, Hybrid)
Work Hours Per Week Average weekly working hours
Performance Rating Employee’s performance rating (scale of 1 to 5)

Stuck in This Assignment? Deadlines Are Near?

Ensure that you start your analysis with the data cleaning process.

Task 1: Descriptive Analytics

Using the provided “Employee’s Annual Salary” dataset, create a Pivot Table for each of the following: –

  1. Summarize sum salary by “Gender”.
  2. Compare average performance ratings by “work mode”.
  3. Summarize standard deviation for years of experience by “education level”.
  4. Group the employees by “Job Role”.

Write a short summary for each table explaining the key insights from the data.

Task 2: Descriptive Analytics

Prepare the following charts for each of the given categories:

  1. Prepare a pie chart for “Job Role”.
  2. Prepare a clustered bar chart for “Job Role” and “Salary”.
  3. Prepare a scatter plot for “Work Hours Per Week” and “Salary”.

Write a short summary for each chart explaining the key insights from the data.

Task 3: Predictive Analytics

Perform an independent samples t-test to determine whether there is a significant difference in average “Salary” based on “Gender”. Ensure that you check the assumption of equal variances, report the t-statistic and p-value, and provide a brief interpretation of the results.

Task 4: Predictive Analytics

Perform a regression analysis to examine the relationship between “Years of Experience” and “Salary.” Interpret the regression results by analysing the coefficients, the significance of the findings, and the overall fit of the model. Additionally, discuss any limitations of the model and its practical implications.

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