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Coursera Stock Market Launch Tweets
Telecommunications & Network Data
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Free
About
This dataset provides a valuable collection of tweets from verified Twitter accounts related to the Coursera Initial Public Offering (IPO). Coursera, established in 2012 by former Stanford University professors Daphne Koller and Andrew Ng, has become a significant online platform offering courses and degrees from leading universities. The company experienced substantial growth during the Covid-19 pandemic, with revenue increasing by 59% to $293 million and registered users growing by 65% in 2020. While net losses widened, the platform added over 12,000 new degrees. This dataset, noted for its high quality (5/5), captures public sentiment and discourse surrounding the company's IPO, providing direct social media insights into this notable event in the online education sector.
Columns
The dataset includes the following columns:
- id: A unique identifier for each tweet.
- conversation_id: Identifies the conversation thread to which the tweet belongs.
- created_at: The exact date and time the tweet was created.
- date: The date the tweet was posted.
- time: The time the tweet was posted.
- timezone: The timezone from which the tweet was posted.
- user_id: The unique identifier for the Twitter user who posted the tweet.
- username: The username of the Twitter account.
- name: The display name of the Twitter account.
- place: Information about the geographical location associated with the tweet; this column appears to be consistently null in the provided sample.
Distribution
This dataset contains tweets specifically regarding the Coursera IPO, sourced from verified Twitter accounts. The exact number of records for the full dataset is not available, but the data is structured to provide detailed information for each tweet, as evidenced by the listed columns. Data files are typically provided in CSV format.
Usage
This dataset is ideal for:
- Sentiment analysis: Understanding public perception and sentiment towards the Coursera IPO and the online education market.
- Market analysis: Observing real-time reactions and discussions that could influence investment decisions or market trends.
- Natural Language Processing (NLP) tasks: Developing and testing NLP models for tweet analysis, topic modelling, and entity recognition.
- Social media monitoring: Tracking discussions and trends related to significant financial events and educational technology.
- Academic research: Studying the impact of IPOs on public discourse and the digital learning landscape.
Coverage
The dataset's scope is global, capturing tweets without specific geographical restrictions. The temporal coverage revolves around the period of the Coursera IPO, which began trading on the NYSE on 31st March 2021. The data specifically features tweets from verified Twitter accounts, ensuring a level of authenticity and relevance from established sources.
License
CC0
Who Can Use It
- Market analysts and investors: To gauge public sentiment and inform investment strategies related to ed-tech.
- Data scientists and NLP researchers: For training models and performing textual analysis on social media data.
- Academics and educational researchers: To study the societal impact and public discourse surrounding major events in online learning.
- Journalists and media professionals: For insights into public reaction to significant financial news.
Dataset Name Suggestions
- Coursera IPO - Tweets
- Verified Coursera IPO Tweets
- Coursera Stock Market Launch Tweets
- Social Media Data on Coursera IPO
Attributes
Original Data Source: Coursera IPO - Tweets
QUALITY