Harnessing Data Analytics for Your Organization

Making Data-Driven Insights

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About This Course

The Data Revolution is in full swing, transforming everything from daily life to how organizations operate their businesses. The world has watched in awe as the organizations that are willing, ready, and able to take on the challenge of harnessing the power of data science to make predictions about their customers, the market, and their organizations have stood further and further above their peers.

Many organizations are struggling to unleash this power for their organizations; progress is stymied by misunderstanding, poor data strategy, and lack of a common language between teams. The directive to make data-driven decisions flounders as teams struggle to understand the fundamental principles of data science.

Welcome to the Solution

This course, while not exhaustive, will enable you to collaborate with your data team and think more “data analytically.” If you dedicate your time and attention, you will find yourself increasingly able to move forward into the opportunities that predictive analytics holds for your organization.

Expert Faculty

Foster Provost

Professor, Information Systems and Andre Meyer Faculty Fellow at NYU Stern School of Business

Vasant Dhar

Professor at NYU Stern School of Business

Course Features

100% Online Course Platform

30 Minutes Per Day

Leadership Coaching

World-Class Expert Teaching

Community of Practice

What You Will Learn

Demystify the data science process.

Align data and business understanding and develop meaningful solutions to issues such as siloing and mistranslation.

Develop new ability to communicate with analytics stakeholders.

What You Will Do

Develop a highly functional familiarity with key data mining concepts.

Construct a data proposal that will then be crowd-sourced via Idea Tournament to evaluate, hone, and provide to your organization for implementation.

Collaborate to unpack your organization’s current data strategy and propel your organization into new levels of data maturity.

Course Overview

Week One


  • An Unparalleled Opportunity
  • Understanding the Target Variable
  • Asking the Right Question
Week Two


  • Introduction to Data Mining
  • Categorical and Numeric Target Variable
  • Managing Iteration in Data Preparation
Week Three


  • Demystifying Modeling
  • Supporting the Modeling Process
  • Detecting and Avoiding Overfitting
Week Four


  • Establishing Baseline Performance
  • Evaluating Categorical Models
  • Evaluating Numeric Models
  • Understanding the Expected Value of Your Data Science Solution
Week Five


  • Deployment: Data Science in the Real World
  • Bringing a Deeper Understanding to Data Proposals
  • Partner Review
Week Six


  • Evaluate
  • Conclusion

Ready to Get Started?

Join hundreds of companies across the globe that have already begun developing learning cultures in their organizations

Speak to a Course Advisor