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Vikrant data scientist

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Vikrant data scientist

  1. 1. How to think like a Data Scientist?
  2. 2. Hello! I am Vikrant Narayan Data Science enthusiast. You can find me at vikrant.m.narayan@gmail.com 2
  3. 3. BIG DATA Extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions. 3
  4. 4. Impacts of Big Data The need for statistical analysis for constant growth in any industry, has forced companies to bank on Big Data.
  5. 5. “ “Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” - Geoffrey Moore 5
  6. 6. Note to aspiring Data Scientists ● Start with something that interests/ bothers you ● Write down all the relevant definitions and your protocol for collecting the data. . 6
  7. 7. Note to aspiring Data Scientists ● Modify your definition and protocol as you go along. ● Visualize your data. ● Familiarize with visualizing tools . 7
  8. 8. Note to aspiring Data Scientists ● Understand the context of collected data ● Understanding variation leads to a better feel for the overall problem, deeper insights, and novel ideas for improvement . 8
  9. 9. Note to aspiring Data Scientists ● Ask, “What else does the data reveal?” ● Evaluate your results’ consistency ● Find out how you can use the data effectively 9
  10. 10. Note to aspiring Data Scientists ● Start thinking like a Data Scientist ● Try to implement Data science in everything you do . 11
  11. 11. Think like a Data Scientist!
  12. 12. Relevance to managers ● Slowly but steadily, data are forcing their way into every nook and cranny of every industry, company, and job. ● Companies without a large and growing cadre of data-savvy managers are similarly disadvantaged 13
  13. 13. Relevance to managers ● Managers who aren’t data savvy, who can’t conduct basic analyses, interpret more complex ones, and interact with data scientists are already at a disadvantage. 14
  14. 14. “There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days.”. - Eric Schimdt 15
  15. 15. 16 Thank You!

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