Welcome to My EDA Course Project Portfolio
Name : Riya P
Semester: 4th
Department: School of Computer Science and Artificial Intelligence (SoCAI), KLE Technological University
Welcome to my portfolio for the Exploratory Data Analysis (EDA) course project. This collection showcases the knowledge and skills I’ve gained over the term, organized into sections that correspond with key learning objectives, course modules, and focus areas—such as personal reflections. Through this portfolio, I aim to highlight my strong grasp of EDA concepts and techniques, along with my ability to apply them effectively to real-world data sets.
Course Project: Exploratory Data Analysis of the Consumer Price Index (CPI)
SDG Alignment: Supporting UN Sustainable Development Goal 8 – Fostering sustained, inclusive, and sustainable economic growth, productive employment, and decent work for all.
This project focuses on analyzing the Consumer Price Index (CPI) through exploratory data analysis (EDA) techniques to explore inflation dynamics and price behavior over time. The goal is to gain meaningful insights into how the costs of goods and services have changed across different sectors, helping to inform economic strategies, public policy, and cost-of-living evaluations.
By applying EDA methods such as descriptive statistics, time-series plotting, and correlation mapping, the analysis aims to reveal key trends, fluctuations, and influential factors driving inflation or deflation. These findings are intended to support decision-makers and enhance public understanding of economic conditions.
Course projects in Exploratory Data Analysis (EDA) serve as vital platforms for applying classroom knowledge to real-world datasets. They allow students to practice data cleaning, visualization, statistical analysis, and interpretation—all key skills for data-driven decision-making. By working through practical challenges, students develop stronger analytical thinking and a deeper understanding of the subject matter.
Additionally, these projects encourage collaboration, foster creativity, and enhance communication abilities—preparing students for real-world roles in industries where data is a critical asset. Projects like the CPI analysis help connect academic learning to pressing global issues such as economic stability, inflation control, and equitable development.