Description

Big Data is or will soon be affecting every organization in our economy. Big data is about much more than just large volumes of data; it is about the increasing speed and diversity of data and the challenges of integrating the systems that produce it.

In this course, you will:

  • Gain an understanding of terminology and leading technologies associated with Big Data
  • Learn hands-on core techniques for retrieving, visualizing, and analyzing data stored in the cloud
  • Find insights into business applications enabled by Big Data
  • Learn the challenges faced by organizations with Big Data implementations
  • Discuss the role of ethics in Big Data

Course Content

Introduction to Big Data

  • Key Terms and Concept in Data
  • The Four V’s of Big Data
  • Differentiating Traditional Data Technologies From Those Used for Big Data

How Big Data is Collected, Organized, & Analyzed

  • The Role of the Data Warehouse, Data Lake, and ETL Processes
  • Data Visualization
  • Building Data Pipelines
  • Components of a Big Data Environment and Projects

Big Data for Your Business

  • Look Inside Pricing and Licensing for Cloud Services
  • Review Pitfalls in Big Data Licensing and Project Execution

Quick Start Checklist

  • Evaluating Your Current State
  • Preparing To Get Started With Big Data Projects

Case Studies

  • Data Storytelling
  • Communicating Data Mistakes
  • Sponsorship Crises

Course Impact

This course is designed for senior managers and executives who are in the midst of digital transformation in their organization or industry. Whether you have an IT background or are business focused, you will benefit from this detailed look under the hood of Big Data technologies and real-world case studies.

Personal Impact

  • Deepen knowledge of the terminology and tech for evaluating big data

  • Learn how to utilize tools and technology to analyze and harness big data

Organizational Impact

  • Overcome the organizational obstacles of implementing big data projects

  • Understand key questions & pitfalls to watch out for in big data projects

Course Logistics

100% online, led by instructor

On-demand access, 15 weeks to complete

5-6 hours of lecture, readings, and self-reflection

$375

Available on Demand

Available On-Demand

Register Now

Get a Certificate

This course is a part of the Digital Transformation Certificate.

This online certificate is designed to challenge you and help you grow as a leader and individual. Understand how you can use digital marketing, information systems, block chain, and other tools to transform your digital space and strategy.

Course Faculty

Stanford Pugsley, MBA

Stanford Pugsley is an Assistant Professor of Information Systems, Lecturer. He has worked with data teams across a variety of industries, from financial services to retail, for top data services companies including HP and PwC Consulting, as well as for several startup companies. The majority of his career has focused on data warehouse architecture and design, data engineering, and data visualization. He has significant experience with data transform and preparation for science/business analytics projects. In addition to teaching, Stanford is an independent data analytics consultant, specializing in cloud data migrations and data warehouse architecture.

His particular areas of interest include agile methodologies for data analytics, identifying factors that contribute to data project success, and techniques for engaging business users in complex data engineering projects.

He is a frequent contributor to top data analytics trade publications.

Looking for more information?