Data Science Freelancer Listings:Upwork Dataset 📊

Overview:

Dive into the "Data Science Freelancer Listings: Upwork Dataset 📊" to explore a curated collection of 130+ data science professionals from around the globe. This dataset provides a unique window into the freelance market on Upwork, showcasing a diverse array of expertise, pricing strategies, and geographic diversity. Whether you're analyzing market trends, exploring the correlation between hourly rates and job success, or simply seeking a broad understanding of the freelance data science landscape, this dataset offers valuable insights.

Data Science Applications:

This compact yet rich dataset is ripe for various data science explorations:

• Market Trends: Examine the relationship between hourly rates, job success rates, and geographical locations.
• Skill Analysis: Identify the most in-demand data science skills and tools in the freelance marketplace.
• Text Mining: Utilize the 'description' and 'title' fields for natural language processing tasks to uncover prevalent themes and services offered.
• Geographical Analysis: Study the global distribution of freelancers and regional differences in data science services.

Column Descriptors:

• country: The freelancer's country, offering geographical context.
• description: Brief overview of the freelancer's services and expertise, ideal for NLP tasks.
• hourlyRate: The charged hourly rate in USD, key for economic analysis.
• jobSuccess: The freelancer's job success percentage, indicative of reliability and quality.
• locality: Specific area or city within the country, for more granular geographical insights.
• name: The freelancer's name (consider anonymizing for privacy if necessary).
• skills: Listed skills and technologies, crucial for skill trend analysis.
• title: Professional headline or title, useful for categorization and text analysis.
• totalHours: Cumulative hours worked, reflecting experience and dedication.
• totalJobs: Total completed jobs, indicating workload and experience.

Acknowledgements:

We express our gratitude to Upwork for fostering a dynamic and diverse freelance community. This dataset is derived from public profiles and listings, providing a snapshot of the vibrant data science freelance market on the platform.

Image Acknowledgements:

For branding and imagery, please refer to Upwork's Brand Resources.