By the end of this course, you know how to make data-driven decisions to find advantages and stay competitive.
In our information age, companies have access to unprecedented amounts information on customers--their behaviors, interests, and buying habits--and the markets in which they operate. Being able to analyze that data has become a critical skill for decision makers at every level of an organization. Today’s firms use data to detect market movement before it becomes a fully-fledged trend, helping them to stay ahead of the curve, tailor products and services to specific customer segments, determine when and when to enter markets, and differentiate themselves from competitors.
What you will learn
- How to separate randomness from truly correlated and potentially causative variables.
- How to determine if certain variables (e.g., your firm’s spending on advertising or sales personnel) are related to or are driving other variables (e.g., your sales)
- How to generate forecasts of future demand, and how trends, seasonality, and extreme events, along with random noise impact our ability to predict the future
- How to effectively visualize these relationships using the latest in data visualization tools