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How to Start Thinking Likea Data
Scientist
By Thomas C. Redman
How to start?
Be open minded and
startwith paper, pencil
and calculator
What willhappen?
• Become data literate
• Open eyes to millions of
smalldata opportunities
and make us work
efficientlywith data
scientistsand analytics
How to think?
• Form a question on what
bothers you
• Thinkabout the data that can
answer the question
• Develop a plan for creating the
answer
• Write down allthe relevant
definition and your protocol for
collecting the data
How to describe?
• Identify the gaps in data
collection
• Modify your definition and
protocol asyou go along
• Start drawing pictures by hand
to describe your variable of
interest
How to communicate?
• Use availabletools to draw
good pictures to both
understand the data and
communicate main points to
others
• Return to the question thatyou
started with and develop
summary statistics
How to answer?
• Answer the so what question
• Understand variation for deeper
insightsand novel ideas of
improvement for the overall
problem
• Pose the next group of
questions – 2 or 3 at most to
keep the focus narrow
Relevance to Indian Managers
Conduct basic analyses
• Identify the employee
performance
• Collect data of possible causes
for low performance
• Develop plans to resolve
efficiently
• Implement to increase
productivity
Interpret complex analyses
• Identify the market trends
• Collect data on customer needs
• Develop plansto target the
demanding service
• Implement required business
process
Interact with DataScientist
• Identify skills of talented data
scientist
• Collect data on significanttasks
to allocate
• Develop potential to
understand their analysis
• Implement solutions to elevate
business model
How to start thinking like a data scientist - Article Analysis
How to start thinking like a data scientist - Article Analysis
How to start thinking like a data scientist - Article Analysis

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How to start thinking like a data scientist - Article Analysis

  • 1. How to Start Thinking Likea Data Scientist By Thomas C. Redman
  • 2. How to start? Be open minded and startwith paper, pencil and calculator
  • 3. What willhappen? • Become data literate • Open eyes to millions of smalldata opportunities and make us work efficientlywith data scientistsand analytics
  • 4.
  • 5. How to think? • Form a question on what bothers you • Thinkabout the data that can answer the question • Develop a plan for creating the answer • Write down allthe relevant definition and your protocol for collecting the data
  • 6. How to describe? • Identify the gaps in data collection • Modify your definition and protocol asyou go along • Start drawing pictures by hand to describe your variable of interest
  • 7. How to communicate? • Use availabletools to draw good pictures to both understand the data and communicate main points to others • Return to the question thatyou started with and develop summary statistics
  • 8. How to answer? • Answer the so what question • Understand variation for deeper insightsand novel ideas of improvement for the overall problem • Pose the next group of questions – 2 or 3 at most to keep the focus narrow
  • 10. Conduct basic analyses • Identify the employee performance • Collect data of possible causes for low performance • Develop plans to resolve efficiently • Implement to increase productivity
  • 11. Interpret complex analyses • Identify the market trends • Collect data on customer needs • Develop plansto target the demanding service • Implement required business process
  • 12. Interact with DataScientist • Identify skills of talented data scientist • Collect data on significanttasks to allocate • Develop potential to understand their analysis • Implement solutions to elevate business model