5 Fresh Project Ideas for Data Analysts to Explore

The world of data analysis is dynamic and continuously evolving. For data analysts looking to expand their portfolio or gain new insights, working on real-world datasets can be both enlightening and challenging. Here are five fresh project ideas that offer a wealth of information to analyze, visualize, and model.

🏠 Airbnb Open Data

Dataset: Airbnb Open Data on Kaggle
Project: Analyze the vibrant homestay landscape of New York City through Airbnb’s open data. From pricing strategies to seasonal availability, dive deep into what makes a successful Airbnb listing stand out in the bustling Big Apple.

🎵 Top Spotify Songs from 2010-2019

Dataset: Top Spotify Songs from 2010-2019 on Kaggle
Project: Chart the evolution of musical tastes over a decade by analyzing the top tracks on Spotify. Uncover trends in genres, artist popularity, and the attributes that contribute to a song’s success on the streaming platform.

📈 Walmart Store Sales Forecasting

Dataset: Walmart Store Sales Forecasting on Kaggle
Project: Utilize historical sales and markdown data to build models that predict future store sales. This project challenges you to forecast effectively, potentially helping businesses strategize better for sales events and promotions.

📺 Netflix Movies and TV Shows

Dataset: Netflix Movies and TV Shows on Kaggle
Project: Investigate the expansive library of movies and TV shows on Netflix. Determine patterns in viewer preferences, the impact of Netflix originals on their catalogue, and the potential factors influencing a title’s presence on the platform.

💼 LinkedIn Data Analyst Job Listings

Dataset: LinkedIn Data Analyst Jobs Listings on Kaggle
Project: Analyze job market trends for data analysts by exploring LinkedIn’s job listings. This dataset provides a window into the skills in demand, preferred qualifications, and the locations of job opportunities for data professionals.

Each of these datasets provides a unique opportunity for data analysts to practice and refine their skills. By engaging with these datasets, you can build a more robust portfolio, showcase your analytical abilities to potential employers, and contribute valuable insights to the data community. Whether you’re a seasoned analyst or just starting, these projects are a stepping stone to mastering the art of data.