- This project entails conducting a comprehensive analysis of TED Talks, covering tasks ranging from data cleansing to exploratory data analysis through data visualization.
- The primary objective of this analysis is to extract insights from the TED Talks dataset, enhance the platform for authors, and optimize revenue generation for the platform.
- The dataset used for this analysis contains information about Title, Author, Views, Likes, and links.
- Initial data exploration
- Visualizations
- Correlation analysis
- Insights from the data
- Finding the most popular TED talks
- Finding the most popular TED talks Speaker
- Judge the correlation between views and likes
- Find authors who speak frequently
This project involved a comprehensive analysis of the TED Talks dataset, providing valuable insights for the platform. Key findings include variations in Finding the most popular TED talks, Finding the most popular TED talk Speaker, Finding authors who speak frequently, and Judging the correlation between views and likes. These insights can guide revenue optimization and marketing strategies.