Udacity Data Analyst Nanodegree Project 2
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Updated
Mar 14, 2020 - HTML
Udacity Data Analyst Nanodegree Project 2
Path to my self-taught education in Data Science
SQL Queries to retrieve specific informations from the dataset.
Final result for Data Bootcamp 2024
Shopping cart analysis is a data-only technique that retailers use to better understand shoppers and increase sales. Shopping cart analysis is a powerful tool for retailers because it allows them to understand the purchasing behavior of customers and create strategies to increase sales and customer loyalty.
RegEx or Regular Expression is good for your health too
Udacity Nano degree Project 4. (Wrangle and Analyze Data)
Risk rating Scoring with R programming
Created an simple an Dashboard report of startups layoff in India 2023 using the data from kaggle.
In this project I utilized Tableau to create a Walmart performance dashboard meant for analysis by high-level company executives. The dashboard tracks key performance indicators, sales, sales by sub-category, sales by state/province, profits, and profit ratio by state/province.
My Python & Pandas Small Projects
Project 2 for Udacity Programming for Data Science with Python Nanodegree
Python | JavaScript | Matlab
Singapore Airbnb Dashboard
Explore restaurant scene in 3 Indian metros (174 restaurants). Valuable resource for researchers, analysts & food enthusiasts to study dining & delivery ratings, preferences, cuisines, pricing, trends, & customer satisfaction. Make data-driven decisions for restaurant business & food choices.
Springboard Data Analyst Bootcamp Capstone Project
This repository contains the SQL queries and the dataset to accompany an article on Medium.com titled "The Data Adventure 01: “How Long will your Business Start to Profit?” — An SQL Adventure"
Welcome to my portfolio!
Project description. I developed a weekly credit card dashboard for real-time insights using Excel, SQL, and Power BI. The project included data cleaning, database creation, and visualization. Key insights included identifying top-performing cards and analyzing revenue factors. This demonstrates my proficiency in these tools for accurate analysis.
This is a repository that I have created to share my skills, projects and track my progress in Data Science related topics.
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