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Instructor
Douglas Clark, Instructor - Data Curation for Decision Making

Douglas Clark

Is an expert in data and information architectures for decision support. He worked at the National Security Agency as a trained traffic analyst and cryptanalyst with 10 patents in natural language processing. His experience ranges from aerospace, large Federal IT programs to software development, machine learning to start-ups and consulting. He's a five time Inc 500/5000 awardee; he led world’s first practice standard for project scheduling.

Instructor: Douglas Clark

The Foundation for Data Driven Decision Making

  • Evaluate and implement data curation strategies that support decision making at all levels of the enterprise.
  • This course is for any professional interested in making data driven decisions.
  • Instructor worked at the National Security Agency as a trained traffic analyst and cryptanalyst with 10 patents in natural language processing. He's a five time Inc 500/5000 awardee.

Duration: 2h 54m

Course Description

The Data Driven Enterprise Series of courses is designed for teams, managers, and executives to learn how to use data driven thinking to design strategy, process, business intelligence products, business structures and the customer experience. Big data is a symptom of our times, a challenge, but ultimately THE opportunity for the modern enterprise to differentiate and disrupt. There is almost no latency for business decisions in today’s hyper-competitive climate. Data driven thinking empowers the enterprise to act. Companies with purposeful, data driven approaches to decisions outperform their peers in output and productivity. In fact, the highest performing organizations use data driven approaches five times more than the lowest performing organizations. This series provides a foundation for how to curate (select, organize, present) data to support decision making at all levels of the enterprise with the introductory course, Data Curation for Decision Making. This course provides instruction on data curation approaches, metadata, data valuation, and decision engineering.

What am I going to get from this course?

Evaluate and implement data curation strategies that support decision making at all levels of the enterprise. Whether at the team level or at the executive level, this course provides information, process and techniques to organize data within the modern concept of decision engineering.

Prerequisites and Target Audience

What will students need to know or do before starting this course?

This course is self contained, and provides all information a business professional needs to grasp the course contents.

Who should take this course? Who should not?

This course is for any professional interested in making data driven decisions.

Curriculum

Module 1: Data Curation for Decision Making Overview

Lecture 1 Introduction to Data Curation - Part 1

Lecture 2 Introduction to Data Curation - Part 2
Quiz 1 Introduction

Introduction to data curation for decision making. The introduction includes: Definitions Examples of data curation Discussions of data, metadata, information, and knowledge

Quiz 2

Module 2: Data Curation

Lecture 3 Data Curation - Select

Concepts that drive this section: Data must never rest Data lineage for all vectors must be retained The lone datum should never see the light of day Data does not live in a vacuum

Quiz 3 Select Quiz

Ten questions from the charts used in the Data Curation - Select Lecture.

Lecture 4 Data Curation - Organize Part 1
Lecture 5 Data Curation - Organize Part 2
Quiz 4 Organize Quiz
Lecture 6 Data Curation - Present
Quiz 5 Present Quiz

Module 3: Decision Engineering

Lecture 7 Decision Engineering - Systems Thinking
Quiz 6 Systems Thinking Quiz
Lecture 8 Decision Engineering - Complex Systems
Quiz 7 Complex Systems Quiz
Lecture 9 Decision Engineering
Quiz 8 Decision Engineering Quiz

Module 4: Use Cases

Lecture 10 Use Cases Overview
Lecture 11 Use Case 1
Lecture 12 Use Case 2
Quiz 9 Use Case Quiz
Lecture 13 Use Case 3
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