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LinkedIn Learning

Mastering Executive-Level Data Analytics

via LinkedIn Learning Path

Overview

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In a data-driven world where every business is a data business at some level, everyone needs a basic understanding of how the key components of data analytics work. This learning path is designed to give a deep briefing for those who work with data teams, setting all stakeholders up for success.
  • Learn the basics of data governance and data organizations.
  • Demonstrate a grasp of statistics, even as a non-math major.
  • Learn what managers need in an AI-driven business climate.

Syllabus

Courses under this program:
Course 1: Learning Data Governance
-Understand why data governance is an essential part of helping every organization succeed in the era of big data and data science.

Course 2: Statistics Foundations 1: The Basics
-Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.

Course 3: Data Science Foundations: Fundamentals
-Get an accessible, nontechnical overview of data science, covering the vocabulary, skills, jobs, tools, and techniques of the field.

Course 4: Predictive Analytics Essential Training for Executives (2020)
-Learn how to hire and manage data science professionals and transform your business with effectively deployed advanced analytics.

Course 5: Everyday AI Business Tools
-Explore the artificial intelligence tools that can solve some of today's most pressing business needs: logistics, customer support, inventory prediction, and more.

Course 6: AI in Business Essential Training
-Learn about the applications of artificial intelligence (AI) in business, and explore emerging opportunities in the space.

Course 7: Generative AI for Business Leaders
-Learn about the key issues and implications that global business leaders need to consider about generative artificial intelligence as they lead their companies into the future.

Courses

Taught by

Jonathan Reichental, Ph.D., Eddie Davila, Barton Poulson, Keith McCormick, Doug Rose, Michael M. and Jonathan Fernandes

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