Every data science project starts with data collection🔢
There are many sources to collect data for further processing, loading, and analysis📊
Let's look at the some of sources for the data for your next project
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Data sources can be as follows depending on the requirement of the project📊🔢
1) Public APIs
2) Company Databases
3) Scraping websites
4) Ready-made datasets
5) Social media data
Among, getting publicly available datasets has never been this easier and that is without scraping websites🤯
Yes, you heard it right! thanks to @bright_data for their innovative solution that will allow you to access public web data for any use-case
Popular datasets from major organizations and across the categories like Social Media, eCommerce, Real-estate among others
You can also request sample datasets relevant to your use case
Try now by signing up using the link below👇 🔗 get.brightdata.com/webdatasets
Some of the advantages of @bright_data I found👇
1. Accurate and complete datasets
2. Enriched datasets
3. 100% Compliant
Moreover, you can get the datasets delivered in JSON, ndJSON, CSV, or Excel to your preferred data storage destination.
Delivery methods include AWS, Google Drive, Google Cloud Storage, SFTP, and more!
The most important part of any data science project is to get valuable insights from the data to take action to foster business growth
Collected data can be integrated into "Bright Insights" to gain a competitive edge with data
Learn more👇
🔗 get.brightdata.com/insights7225