Exploratory Data Analysis (EDA) using SQL on a data science job salaries dataset to analyze salary patterns, role distributions, and key market insights.

An analytical study of global Data Science job salaries using Excel, SQL, and Power BI. Project includes data cleaning, salary comparison by job role and experience level, top-paying countries, and interactive visual dashboards.

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Analyzing data science job salaries using SQL & Power BI

Project focused on analyzing data science job salaries dataset using SQL

An exploratory data analysis of the global AI and Data Science job market using SQL to uncover salary and remote work trends.

This Repositary details a **Data Science Job Salaries project**, using **ML, Python, SQL, and Excel**. It covers the entire process: **problem definition, data cleaning (607 entries), EDA, financial modeling (Linear Regression), and visualization** of salary trends by experience, company size, and job type (remote/onsite).

Analysis of 2025 data science job postings to uncover salary trends, in-demand skills, and role-based compensation patterns using Python, SQL, and real-world hiring data.

This project explores a dataset of 1,600+ data science job listings using SQL. The goal was to identify hiring trends, skill demand, and salary benchmarks for data professionals.

A project analyzing data science job market using the power of SQL to exact actionable insight by unraveling the top paying jobs, top paying skills, in demand skills and where demand skills meets high salary in data scientist role.

This project analyzes the Data Science job market in the United States to uncover insights related to job demand, salary trends, top industries, hiring companies, required skills, and education impact. Using SQL for data extraction and Power BI for visualization.

This project is an exploratory and analytical SQL portfolio piece focused on dissecting data science job postings from 2023. Using a well-structured PostgreSQL database schema, the project dives into job trends, required skills, salary insights, remote work availability, and other market dynamics for data professionals.

This project analyzes data science and analytics job postings using advanced Excel tools (Power Query, Power Pivot, DAX) to explore skills demand, salary trends, and regional variations. It highlights correlations between skills and pay, top skills (e.g., SQL, Python), and salary insights, with PivotTables, PivotCharts, and visualizations.