How to Manage Your Data Science Project

Photo by Jo Szczepanska on Unsplash

Key takeaways

  • Executing a data science project requires good planning
  • Good planning and preparation will not only improve productivity, but it will help avoid potential pitfalls and roadblocks that could be encountered during project execution

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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