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Fun Facts About Data Science

  1. The average salary for a data scientist, according to the Bureau of Labor Statistics, is $100,000 while an analyst is $70,000.
  2. According to the Bureau of Labor Statistics, by 2026, about 11.5 million jobs would be created for data science.
  3. The UK’s National Health Service has stated by 2040, 90% of their staff will be data literate. 
  4. The Wyss Institute in Boston has developed AI-powered bees to monitor crop pollination, climate, and surveillance.
  5. To download all the information from the internet today, it would take 181 million years.
  6. Every 2 days we create as much information as we did from the beginning of time to 2003.
  7. The demand-to-job ratio for data science right now is 3 to 1. 
  8. There are nearly as many pieces of digital information as there are stars in the universe.
  9. Less than 0.5% of all data we create is ever used or analyzed.
  10. According to the Digital 2022 Global Overview Report, the world will spend over 12 ½ trillion hours on the internet in 2022 alone. 
  11. According to PragmaticWorks, global businesses lose about 20-35% of their operating revenue from poor-quality data.
  12. Before data science had been fully developed, it had taken researchers 11-12 years to complete the processing of millions of test cases. That timeline has been shortened to months and even weeks. 
  13. Data science has helped improve diagnostic accuracy for several health problems. The company, Enlitic, uses data science to read x-rays and CT scans to get 70% more accurate results 50,000 times faster.
  14. 75% of data scientists use Python as the main coding language. While had been popular in the past, only 10% use Java-based and 15% use Javascript based. 
  15. 80% of data scientists arrange, clean, and restructure the data while only 20% actually analyze it. 
  16. Nearly 80% of public domain data is analyzed by enterprises.
  17. Poor data can cost the US government about $3.1 trillion a year.
  18. 97.2% of companies have stated they are investing in data and AI.
  19. Big data in healthcare analytics is growing with a CAGR of 19% (compound annual growth rate).
  20. If you burned all the data created in 1 day into DVDs, you could stack them on top of each other to reach the moon twice.