The Complete Data Science Project Management Course

Description

Are you a data science enthusiast who wants to learn about managing a data science project efficiently and effectively? Then this course is just for you! The Complete Data Science Project Management Course offers a process-oriented approach to project management, utilizing the widely accepted Cross Industry Standard Process for Data Mining (CRISP-DM) methodology.

This course takes you through all the data mining activities and their inputs and outputs, helping to ensure efficient project management of a data science project. It also guides you on engaging the right stakeholders with a focus on setting Data Mining success criteria to achieve business goals.

While machine learning and model building are essential components of any data science project, there are several other activities that you need to consider for effective project management. Preparing a dataset suitable for machine learning applications, monitoring, reporting, and user training are some of the other crucial activities that you must perform during the project's execution.

This course takes a broader approach and examines how each activity of CRISP-DM fits together to achieve business outcomes in a data science project. You'll also learn about the data science project's deployment, including reviewing the lessons learned.

The course provides an elaborate explanation of all the activities involved in end-to-end execution of a data science project, along with their respective purposes. You'll gain insight into the best practices for successful project management in line with project management standards.

In conclusion, if you're looking forward to excelling in data science project management, The Complete Data Science Project Management Course is an excellent place to start. Join the course today and gain valuable knowledge about managing data science projects in a process-oriented approach with CRISP-DM methodology.