Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
This dataset includes 521 real-world job descriptions for various data analyst roles, compiled solely for educational and research purposes. It was created to support natural language processing (NLP) and skill extraction tasks.
Each row represents a unique job posting with:
- Job Title
: The role being advertised
- Description
: The full-text job description
🔍 Use Case:
This dataset was used in the "Job Skill Analyzer" project, which applies NLP and multi-label classification to extract in-demand skills such as Python, SQL, Tableau, Power BI, Excel, and Communication.
🎯 Ideal For: - NLP-based skill extraction - Resume/job description matching - EDA on job market skill trends - Multi-label text classification projects
⚠️ Disclaimer:
- The job descriptions were collected from publicly available postings across multiple job boards.
- No logos, branding, or personally identifiable information is included.
- This dataset is not intended for commercial use.
License: CC BY-NC-SA 4.0
Suitable For: NLP, EDA, Job Market Analysis, Skill Mining, Text Classification
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Regarding this dataset, Netflix is among the most popular websites for streaming movies and videos. They have more than 200 million members globally as of the middle of 2021, and their platform offers over 8,000 movies and TV shows. This tabular dataset contains listings of all the movies and TV shows available on Netflix, together with details about the actors, directors, ratings, length, year of release, and other details.
Content Trends Over Time - Examine the annual changes in Netflix's movie and TV show counts. 2. Genre Popularity - Discover the most popular genres and how their popularity changes by location or year. 3. Country Insights - Find out which nations produce the most shows and what kinds of content they contribute. 4. Ratings Distribution - Show how the mature ratings (G, PG, R, TV-MA) are distributed throughout Netflix material. 5. Best Directors & Actors - Find the actors or directors who show up on Netflix the most.
Create a content-based recommender by utilizing genres and title descriptions in the Recommendation System Prototype. 2. Text Analysis on Descriptions - Apply natural language processing (NLP) to identify trends in the way Netflix characterizes its material using terms like "crime," "adventure," and "love." 3. Classification Models - Use metadata to determine if a title is a movie or a TV show. Using genres, lengths, and descriptions, group films and television series into clusters. 5. Trend Forecasting - Forecast future growth in the Netflix library using time-series analysis.
Understand the Data (Initial Exploration)
Data Cleaning & Preprocessing
date_added
).Exploratory Data Analysis (EDA)
Visualization & Storytelling
Advanced Analysis / Data Science Tasks
Insights & Reporting
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
This dataset includes 521 real-world job descriptions for various data analyst roles, compiled solely for educational and research purposes. It was created to support natural language processing (NLP) and skill extraction tasks.
Each row represents a unique job posting with:
- Job Title
: The role being advertised
- Description
: The full-text job description
🔍 Use Case:
This dataset was used in the "Job Skill Analyzer" project, which applies NLP and multi-label classification to extract in-demand skills such as Python, SQL, Tableau, Power BI, Excel, and Communication.
🎯 Ideal For: - NLP-based skill extraction - Resume/job description matching - EDA on job market skill trends - Multi-label text classification projects
⚠️ Disclaimer:
- The job descriptions were collected from publicly available postings across multiple job boards.
- No logos, branding, or personally identifiable information is included.
- This dataset is not intended for commercial use.
License: CC BY-NC-SA 4.0
Suitable For: NLP, EDA, Job Market Analysis, Skill Mining, Text Classification