DSI645/job-trends-nigeria

Using Python, Pandas, and Seaborn, this exploratory data analysis project identifies recruiting hotspots and in-demand tech skills in Nigeria's labor market. # Job Trends in Nigerian Tech Roles (2025) This project analyzes a curated dataset of Nigerian tech job listings to identify in-demand skills and location-based hiring trends. It was built to provide practical insights for job seekers, recruiters, and anyone curious about the Nigerian job market. ## Dataset The dataset includes 10+ sample tech roles compiled from local Nigerian job platforms such as Jobberman, MyJobMag, and company sites. It contains the following columns: Job Title Company Location Description Date Posted ## Key Questions What technical skills are most frequently mentioned? What Nigerian cities or job types (e.g. remote) are hiring the most? How often do specific tools like Python, SQL, Power BI appear? ## Tools Used **Python** **Pandas** for data processing **BeautifulSoup** *(initial attempts, then pivoted to manual dataset)* **Matplotlib / Seaborn** for data visualization **Jupyter Notebook** for workflow --- ## Insights **Python**, **Excel**, and **SQL** are the most in-demand skills **Power BI**, **React**, and **Networking** also appear frequently **Lagos** dominates tech hiring, but remote roles are growing ## 🚀 Getting Started 1. Clone this repo 2. Open the `job-trends-nigeria.ipynb` notebook 3. Run the code to explore the analysis or extend it with your own filters ## What I Learned Skill extraction using simple keyword search Manual data curation for real-world insights Visualizing trends and turning raw data into insights ## Author Oluwatobiloba Dahunsi GitHub | LinkedIn