Gain the job-ready skills for an entry-level data analyst role through this eight-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics). Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques.

SQL-driven analysis of global AI job postings to explore salary trends, experience levels, education impact, and remote work flexibility.

This project explores a dataset of AI-related jobs to uncover insights about salary trends, in-demand skills, education levels, and remote work preferences. The analysis was done using SQL for querying and Excel for data cleaning and preparation.

SQL-powered analysis and normalization of job vacancies from HH.ru for deeper job market understanding

SQL and Python-powered system for job scraping, database management, and market analysis

Data Science job market analysis (HH.ru): SQL + Python (pandas, Plotly) with insights on skills, salaries and demand

End-to-end SQL-based analysis of 2023’s data analyst job market—identifying top-paying roles, in-demand skills, and career growth strategies using PostgreSQL and real job posting data.

A PostgreSQL project that analyzes Data Engineer job postings to uncover top-paying roles, in-demand skills, and high-value technologies using advanced SQL queries and data modeling.

This project analyzes job postings data using **SQL** to uncover insights about in-demand skills, salaries, and top companies. It demonstrates how SQL can be applied to **real-world data** for decision-making and is part of my data analytics portfolio.

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Turning job market data into insights with SQL and Power BI, showing top skills and career trends visually.

Análisis del mercado laboral junior en el sector data basado principalmente en SQL y ofertas reales de empleo. Se estudian rangos salariales, demanda tecnológica, tendencias de mercado y problemas de calidad de datos. Proyecto educativo con apoyo de IA.

No description available

LinkedIn Job Market Analysis using Python, SQL and Tableau

AI Job Market Analysis Using Excel, SQL And Power BI

Conducted job market analysis for entry level data scientists using SQL queries.

Analysis of hiring trends and talent demand in the Indian job market 2025 using SQL and Power BI. This project covers data cleaning, advanced SQL analysis, and interactive dashboards to derive insights on roles, skills, salaries, experience, and remote hiring trends.

SQL analysis project exploring job market trends for data analysts: salaries, in‑demand skills and career insights.

End-to-end analysis of job market skill demand using Python, SQL, Excel, and Tableau, focusing on skill trends, combinations, and job-level requirements.

Sales & Job Analysis Dashboards includes two interactive dashboards: one for real-time sales tracking and another for job market analysis. Built with Power BI, SQL, and Python, the project uses SQL for dynamic data updates and Python for web scraping and text analysis of job postings.

Analysis of the Canadian Machine Learning job market using SQL and Python, identifying top salaries, in-demand skills, and optimal career paths.

"A SQL-based data analysis project investigating the data analyst job market to identify top-paying roles, in-demand skills, and optimal career paths using SQL Server & SSMS."

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

Job market analysis using SQL & Tableau – Analyzed 1.35M+ job postings across 1,000+ cities and 90K+ companies using SQL and Tableau. Built an interactive dashboard with KPIs, filters, and maps to uncover global hiring trends by role, location, company, and skills.

📊 Data Analyst Job Market Analysis: A SQL-powered exploration of in-demand skills & salary trends for data analysts. Features PostgreSQL queries, Tableau visualizations, and actionable insights for career growth.

Exploratory Data Analysis of 1,797 Canadian data analyst job postings. Analyzes salary trends, geographic distribution, in-demand skills (SQL, Python, Excel), industry sectors, and seniority levels using Python, Pandas, and visualization libraries. Perfect for job seekers and market researchers.

Tech Talent Market Intelligence showcases an end to end ETL pipeline using Python, SQL, and Power BI. It generates realistic job data with Faker, cleans salaries, locations, and skills using Pandas, loads into SQLite, runs SQL analysis, and outputs BI ready CSV for dashboards on trends, demand, and hiring hotspots across India tech markets today

This is a hobby project powered by Luke Barousse where I've compiled a set of SQL scripts designed for job analysis. I created this repository as a personal learning endeavor to sharpen my SQL skills while gaining insights into the job market. From employment trends to dissecting salary ranges and skill requirements, I got to learn a lot from this.

JobMiner is an Azure-based Python application that scrapes data analyst job listings from popular job portals, extracts detailed information including skills, salary ranges, and experience requirements, and stores the structured data in SQL database for analysis of market trends and opportunities, which are later visualized in Power BI dashboards.

10-Day Data Dash is a hands-on challenge designed to boost data analytics skills through real-world projects using Excel, SQL, and Power BI. Perfect for freshers aiming to build a strong portfolio and stand out in a competitive job market by demonstrating practical experience in data cleaning, analysis, and visualization.