How to start thinking like a data scientist - Article Analysis
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The document outlines steps to think like a data scientist, emphasizing openness to learning and data literacy. It covers the process of forming questions, collecting data, describing variables, communicating findings, and answering critical inquiries. Practical relevance is highlighted for Indian managers, focusing on employee performance analysis, understanding market trends, and collaborating effectively with data scientists.
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
- 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
- 9. Relevance to Indian Managers
- 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