Build Essential Data Skills
Offered By: LinkedIn Learning
Course Description
Overview
In this learning path, you can explore all the critical data skills including how data works, where to find data, data privacy and governance, the future of data, and how to make data-driven decisions.
- Master the conceptual understanding of how data works.
- Learn how data work is done in organizations of all sizes.
- Understand the mission-critical role of data governance.
Syllabus
Courses under this program:
Course 1: Data Fluency: Exploring and Describing Data (2019)
-Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
Course 2: Learning Data Science: Understanding the Basics
-Get an introduction to data science designed for people who aren't planning on being full-time data scientists. Learn the basics of gathering and analyzing big data.
Course 3: Statistics Foundations: 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 4: Understanding and Prioritizing Data Privacy
-Get an introduction to the basics of data privacy: what it is, why it matters, and who it impacts, from consumers and private citizens to policymakers and C-suite business leaders.
Course 5: 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 6: Artificial Intelligence for Business Leaders
-Explore the artificial intelligence tools and concepts that can solve some of today's most pressing business needs: logistics, customer support, inventory prediction, and more.
Course 7: Data-Driven Decision-Making for Business Professionals
-Learn how to use data to draw out powerful conclusions. This course identifies what you need for smart, data-driven decision-making.
Course 1: Data Fluency: Exploring and Describing Data (2019)
-Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
Course 2: Learning Data Science: Understanding the Basics
-Get an introduction to data science designed for people who aren't planning on being full-time data scientists. Learn the basics of gathering and analyzing big data.
Course 3: Statistics Foundations: 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 4: Understanding and Prioritizing Data Privacy
-Get an introduction to the basics of data privacy: what it is, why it matters, and who it impacts, from consumers and private citizens to policymakers and C-suite business leaders.
Course 5: 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 6: Artificial Intelligence for Business Leaders
-Explore the artificial intelligence tools and concepts that can solve some of today's most pressing business needs: logistics, customer support, inventory prediction, and more.
Course 7: Data-Driven Decision-Making for Business Professionals
-Learn how to use data to draw out powerful conclusions. This course identifies what you need for smart, data-driven decision-making.
Courses
-
Learn how to use data to draw out powerful conclusions. This course identifies what you need for smart, data-driven decision-making.
-
Get an introduction to data science designed for people who aren't planning on being full-time data scientists. Learn the basics of gathering and analyzing big data.
-
Explore the artificial intelligence tools and concepts that can solve some of today's most pressing business needs: logistics, customer support, inventory prediction, and more.
-
Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
-
Understand why data governance is an essential part of helping every organization succeed in the era of big data and data science
-
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.
-
Get an introduction to the basics of data privacy: what it is, why it matters, and who it impacts, from consumers and private citizens to policymakers and C-suite business leaders.
Taught by
Barton Poulson, Doug Rose, Eddie Davila, Michelle Dennedy, Jonathan Reichental, Ph.D. and Jamie Champagne
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