Data Science- Project Management Methodology – CRISP-DM

End to End High Level Overview of Data Science & AI projects

Learners will understand about Project management methodology – CRISP-DM, in handling Data Science projects or Artificial Intelligence projects end to end. All the 6 stages including Business Understanding, Data Understanding, Data Preparation, Data Modeling, Model Evaluation and finally Model Deployment. This course includes a structured approach of handling the data related projects for maximizing the success rate.

What you’ll learn

  • Learn about Amazing Project Management Methodology (CRISP-DM) in Handling Data Science & Artificial Intelligence Projects..

Course Content

  • Introduction to PM Methodologies & Detailed Understanding.
  • Phase-1 | Business Understanding.
  • Phase-2 | Data Understanding.
  • Phase-3 | Data Preparation.
  • Phase-4 | Modelling.
  • Phase-5 | Evaluation.
  • Phase-6 | Deployment.

Data Science- Project Management Methodology - CRISP-DM

Requirements

  • Knowledge of Data Science Basics is recommended but not mandatory..

Learners will understand about Project management methodology – CRISP-DM, in handling Data Science projects or Artificial Intelligence projects end to end. All the 6 stages including Business Understanding, Data Understanding, Data Preparation, Data Modeling, Model Evaluation and finally Model Deployment. This course includes a structured approach of handling the data related projects for maximizing the success rate.

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