Nine Steps Applicable to Any Data Science Issue

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


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