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Offered by Johns Hopkins University | This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At …
Do Left-handed People Really Die Young? In this project,I will explore this phenomenon using age distribution data to see if we can reproduce a difference in average age at death purely from the changing rates of left-handedness over time, refuting the claim of early death for left-handers.
This repository contains finalized and working Jupyter Notebook files that encapsulate most of my work as an Analytics Intern with Stellar Solutions working for Space Systems Command.
It is a WEB Scraping Project which uses BeautifulSoup and Requests to scrape the data from the website. With the help of data manipulation library it stores the data in CSV as well as Excel file.
This project aims to analyze the telecom market, focusing on customer demographics and their preferences for multiple telecom services. The goal is to identify age groups that are most likely to have multiple telecom services and understand their sentiment regarding the number of options they have.
Analyze sales data to identify daily and monthly trends, top-selling pizzas, bottom-selling pizzas, performance of pizza categories and revenue metrics for business decision-making.
Code for my Master's capstone project that explores the introduction of IAV to the United States. The goal was to ascertain the first introduction of IAV into each state and the candidate source populations of each introduction.
This repository contains code and datasets for a project assigned in the Foundations of Data Science course (Fall 2023). It involves manipulating and visualizing four datasets: LEGO bricks, bike-sharing systems, Titanic passenger info, and US COVID-19 cases.
My Allocine" is a SQL project demonstrating data management and analysis with relational databases. It showcases SQL operations like modifying structures, updating rows, and retrieving data.