1.Aptitude test: Should return values for affinity of a person to a given sector, job and Company. 2.Grapher: A code in which the user can graph different parameters in the x and y axis(from datafile) 3.Placement predictor: It counts how many people with similar metrics from the user input criteria and lists with percentage probability.

Uncover Customer Insights and Drive Marketing Strategies with Data

Final project of the Data Analytics course carried out at CoderHouse

This repository contains Google Data Analytics Professional Certificate course's capstone project from Coursera.

A collection of SQL-based data analytics projects demonstrating techniques for data extraction, transformation, analysis, and visualization. These projects showcase practical SQL queries and insights across various domains, including sales, customer segmentation, and employee attrition analysis.

The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.

This analysis has been done for the purpose of class project for evaluation

Udacity Data Analyst Project 2: Wrangling, analyzing and visualizing 'WeRateDogs'

A project analyzing product reviews on Amazon

Conducting a data analysis for a client persona

Exploratory data analysis projects on Different datasets to enhance Data Analysis and visualization

EDASS - Easy Data Analysis and Statistics Software

An beginner exploratory data analysis project on Nigerian Institutions of Higher Education.

FreeCodeCamp data analysis challenge: Demographic Data Analyzer ⚡

This dashboard is based on Credit Card Financial using PowerBI and sql

The housing SQL data undergoes ETL (Extract, Transform, Load) processes to integrate and process the information. The data is extracted from various sources, transformed to ensure quality, and loaded into a SQL database. This enables data-driven decision-making in the real estate industry, providing insights into housing trends and property values.

collection of Jupyter Notebooks in both English and Spanish, dedicated to performing data quality analysis using the R programming language

This project analyzes hate crimes reported in the NYPD using data from a Kaggle dataset. It explores temporal and spatial patterns, offense types, bias motivations, and arrest trends. The analysis involves data cleaning, preprocessing, and visualization to reveal insights into crime trends and geographical concentrations.

This Power BI dashboard, designed for marketing strategists, analyzes sales trends and customer behavior. It provides key insights empowering them to identify sales opportunities and optimize marketing campaigns, ultimately boosting business sales.