Discover critical skills in communicating barriers and solutions to data acquisition for model training. In this course, Communicating Expectations to the Business, you will learn foundational knowledge that will aid you in managing stakeholders’ expectations of data science, machine learning, and augmented intelligence solutions. First, you will learn what is needed for a data science solution. Next, you will discover the four main sources of historical data that can be used to train models for a solution that will generate insights that will be used by a team, and what barriers you may encounter in acquiring that data. Then, you will examine an innovative solution, synthetic data generation, that will aid in transforming existing data while maintaining the data’s character, personality, and richness. Finally, you will explore how to communicate solutions and expectations to stakeholders on data availability and formatting, and ask for a go/no-go decision. When you’re finished with this course, you will have the skills and knowledge of communicating challenges around availability of data, and strategies needed to overcome barriers to bring needed historical data to your data science and machine learning solution.
Author Name: Benjamin Culbertson
Author Description:
Coach helps leaders recharge their batteries and gain new skills through energizing and interactive presentations that have immediate real-world impact. He’s taught tens of thousands of corporate, military, and government IT people around the world, and he’s been trained as a clown by a Ringling Bros. veteran–not a combination you can find just anywhere. He combines his vast experience in pragmatic training with his over-the-top energy to create the “infotainment” style his fans know and love.