How to Plan and Organize a Data Science/Analytics Project? Conducting a data science/analytics project always takes time and has never been easy.
Conducting a data science/analytics project always takes time and has never been easy. A successful and comprehensive analytics project is way beyond coding. Instead, it involves sophisticated planning and a large amount of communication.
What is the Life Cycle of an Analytics Project?
To complete a data science/analytics project, you may have to go through five major phases starting from understanding the problem and designing the project, to collecting data, running analysis, presenting the results and doing documentations and self reflection.
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What project manager should know about data science and AI projects. Spoiler: If you are starting with requirements, think again