2. Hello!
I am Vikrant Narayan
Data Science enthusiast.
You can find me at vikrant.m.narayan@gmail.com
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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.
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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. “ “Without big data analytics,
companies are blind and deaf,
wandering out onto the web like deer
on a freeway.”
- Geoffrey Moore
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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.
.
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7. Note to aspiring Data Scientists
● Modify your definition and protocol
as you go along.
● Visualize your data.
● Familiarize with visualizing tools
.
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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
.
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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
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10.
11. Note to aspiring Data Scientists
● Start thinking like a Data Scientist
● Try to implement Data science in
everything you do
.
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13. 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
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14. 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.
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15. “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
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