How to Design Experiments for Data Collection

Photo by Science in HD on Unsplash

Key Takeaways

  • Designing experiments for data collection is important when the data required for analysis isn’t available.
  • The key goal is to design a way to collect the best subset of data quickly and efficiently.

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Benjamin Obi Tayo Ph.D.

Benjamin Obi Tayo Ph.D.

Physicist, Data Science Educator, Writer. Interests: Data Science, Machine Learning, AI, Python & R, Personal Finance Analytics, Materials Sciences, Biophysics