Understanding Data Capitalism

Course Overview

Course Introduction

The impact of big data is being felt in every organization in both positive and negative ways. Steve Lohr, technology reporter at The New York Times and author of the book Data-ism, shares his thoughts on how big data can be utilized to grow a business, improve productivity, and create new products and services.
In this course, Lohr talks about new sources of data that have the potential to transform the way we do business and the way we live our lives. He describes where the data is coming from and how the information from it is being used in product design and decision-making, where analytics and science are replacing gut instincts. He talks about long-term economic and technological implications of big data use by organizations and the rising demand for data scientists and data-literate managers with deep quantitative skills.


Who Should Attend

  • CXOs
  • Entrepreneurs
  • IT Professionals
  • Business Heads


Course Methodology

This self-paced e-learning course is based on an exclusive interview with Steve Lohr, author and reporter at The New York Times.

Learning Objectives

  • Understanding data-ism
  • Role of data scientist
  • Challenges faced with big data
  • Industries benefiting from big data and training for big data
  • People vs. Computers: The division of labor
  • Data sharing between organizations and impact of big data on future product directions

Course Modules

  • Big Data: Role In Business
    • Data-ism Defined
    • Roles And Careers
  • Challenges And Opportunities
    • Economic And Technological Implications
    • Industries Benefiting From Big Data
  • Preparing For Big Data
    • Equipping The Workforce
    • The Human Intervention
  • Big Data: Future Growth
    • Collaboration Between Organizations
    • Positive And Negative Aspects
    • Case Study