Assessing-the-College-Campus-Experience

ASSESSING THE COLLEGE CAMPUS EXPERIENCE

Description

Assessing the college campus experience among college students by taking survey.This surveys can provide valuable insights into the college campus experience, including students' perceptions of their learning environment, social interactions, and access to technology,etc...

Objective Assessing the college campus experience through surveys can be challenging, and there are several needs that the study should address. Because, students from same college having different views on their college. So, It depends on perception of the students in different college.

Techonologies Used

Python, Jupyter Notebook, Pandas, Excel, Matplotlib.

Steps Involved

Define the Problem or Objective: The project aims to assess the college campus experience through a survey that captures students' perceptions about various aspects of campus life, such as facilities, social interactions, and academic support.

Data Collection: The primary method of data collection is a self-administered online survey created using Google Forms. The survey gathers both subjective and objective feedback from participants on topics like campus atmosphere, extracurricular activities, and accessibility to resources.

Data Cleaning and Preprocessing: Data cleaning is done to remove missing values, handle outliers, and ensure that the data is in the correct format for analysis. This step ensures the data is ready for further exploration and analysis.

Exploratory Data Analysis (EDA): The project uses descriptive and statistical methods to explore the dataset, including pivot tables in Excel and data manipulation in Python's Jupyter Notebook. EDA is crucial to identify patterns, relationships, and anomalies in the data.

Modeling and Analysis: Excel and Python are used to generate outputs from the survey data, providing insights into various aspects such as satisfaction with facilities and professor accessibility. Tools like pivot tables and Jupyter notebooks are employed to analyze and summarize the data.

Results and Findings: Insights are derived from both Excel and Python-based analysis, where data is categorized and findings related to campus facilities, student engagement, diversity, and technology resources are presented.

Communication of Results: The results are visualized and summarized in tables and graphs, showing how different factors impact students' campus experiences.

About the Dataset

The dataset used for this project is soucred from conducting a survey to assess the college campus experience using Google Forms by Self-administered Online Survey.