Udacity
Paid Course
English
Certificate Available
4-8 weeks long, 5 hours a week
Syllabus
- Introduction to Data Science
- Businesses often suspect that they want Data Science capabilities, and may even sense a need for Data Science capabilities, but many are not sure where to start. Learn exactly what Data Science is, who Data Scientists are, and what's possible through Data Science.
- Business Case for Data Science
- Creating a data science strategy isn’t a standalone activity; it must be driven by a business's overarching operations and strategy. This course will cover how to articulate abusiness’s strategic objectives and identify opportunities for data science-based transformation, a critical starting point for any data strategy.
- Human Capital of Data Science
- The human capital component of Data Science is critical to delivering on a data science strategy. Learn how to recruit, hire, and train for a Data Science organization, and how to structure that organization in order to deliver value to the business. Asses ways to leverage data and data science to foster a data-driven culture throughout the business.
- Data and Machine Learning Infrastructure Strategy
- Technology needs are specific to each business; they depend on the types of data to be leveraged for Data Science, the form and magnitude of that data, the types of data science models that a business plans to create, and the overall scale of operations represented by those data science models. This lesson investigates the parameters that must be considered both in creating a Data Architecture Strategy and in building a Machine Learning Architecture to support Data Science initiatives.
- CAPSTONE PROJECT - Build a 100-Day Data Plan
- Draw on all of the skills learned throughout the lessons to create a Data Science strategy that drives transformation in the business during your first 100 days.
Taught by
Ed Wiley
