Communicating Expectations to the Business

Overview

In this course, Communicating Expectations to the Business, you will gain foundational knowledge essential for managing stakeholders' expectations regarding data science, machine learning, and augmented intelligence solutions.

First, you will learn what is required for a successful data science solution.

Next, discover the four main sources of historical data that can be utilized to train models and generate insights for your team, along with the barriers you may face in acquiring that data.

Then, examine the innovative solution of synthetic data generation, which transforms existing data while preserving its character, personality, and richness.

Finally, explore how to effectively communicate solutions and set realistic expectations with stakeholders concerning data availability and formatting, and how to request a go/no-go decision.

By the end of this course, you will possess the skills and knowledge required to tackle challenges related to data availability and develop strategies to overcome these barriers, ensuring the success of your data science and machine learning projects.

University:

Provider:

Pluralsight

Categories:

Machine Learning Courses, Communication Skills Courses, Data Science Courses

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Taught by

Benjamin Culbertson

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Subjects