Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. The design data modelling processes create algorithms and predictive models to extract the data the business needs and help analyze the data and share insights with peers. While each project is different,
1. Ask the right questions to begin the discovery process.
2. Acquire data.
3. Process and clean the data.
4. Integrate and store data.
5. Initial data investigation and exploratory data analysis
6. Choose one or more potential models and algorithms.
7. Apply data science techniques, such as machine learning, statistical modelling, and artificial intelligence.
8. Measure and improve results.
9. Present final result to stakeholders
10. Make adjustments based on feedback.
11. Repeat the process to solve a new problem.
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