Decipher the Data to
Make Better Decisions

Analyzing data and putting it to work for you and your business is an essential skill for executives today. But if you are not as fluent as you need to be in data and analytics, you're not alone. According to The Data Literacy Index from Qlik, just 24 percent of the global workforce feels confident in reading, working with, analyzing, and arguing with data. You can close that competency gap by gaining the skills to transform your organization into a data-driven enterprise.

This is not just about adding to your own professional skill set. Gartner reports that 80 percent of organizational leaders have a goal of initiating a deliberate plan to improve the data literacy of their workforce at large. Position yourself and your company to advance your data literacy and confidently lead a data-driven corporate culture.

Apply Now$2,600 CAD

What you'll get:

• Improved data literacy, the ability to communicate effectively with data analysts to understand when to use (and how to interpret) descriptive, predictive, and prescriptive analytics
• Expert guidance on evaluating various data analytics tools, such as dashboards, machine learning, prediction models, and regression analysis
• Techniques to apply scientific thinking to business, such as examining cause and effect in data analysis and designing an experiment
• A deeper understanding of how to build a data-driven organization, including managing privacy concerns and developing strategies for cultivating evidence-based decision-making

Program
Curriculum

Each module is designed to help you craft the narrative for your company's data literacy by improving your own data fluency and gaining an understanding of the business value quality data and expert analytics can create for your business.

Module 1: Data Basics
Module 2: Dashboarding
Module 3: Introduction to Prediction
Module 4: Regression
Module 5: Scientific Thinking in Business: Prescriptive Analysis
Module 6: Building a Data-Driven Organization

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Avi Goldfarb, Featured Faculty

Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare, and Professor of Marketing, at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. Avi received his PhD in economics from Northwestern University. Avi's research focuses on the opportunities and challenges of the digital economy. He has published academic articles in marketing, statistics, law, management, medicine, computing, and economics. His work on online advertising won the INFORMS Society of Marketing Science Long Term Impact Award, and he has testified before the US Senate Judiciary Committee on competition and privacy in digital advertising. Avi is a co-author of the bestselling bookPrediction Machines: The Simple Economics of Artificial Intelligence.

Apply Now$2,600 CAD