Nine Steps Applicable to Any Data Science Issue

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You can facilitate access to data, understand its structure, and prepare it for implementing algorithms with data visualization tools. Exploiting big data environments to create value that leads to decision-making and action implies nine data science steps, summarized in this whitepaper:

  • Unclutter data to broaden the scope of analysis
  • Analyze and discover data
  • Prepare data
  • Identify the influencing factors
  • Implement algorithms
  • Identify the best model
  • Export this model in a suitable format
  • Evaluate the value of the data
  • Automate actions