Harness the benefits of predictive analytics to optimize business strategy and gain a competitive advantage.

In today’s digital environment, data is a powerful tool available to all organizations. When harnessed correctly, data has the potential to drive decision-making, impact strategy formulation, and improve organizational performance. As a result, businesses that wish to maintain a competitive advantage can no longer forgo investing in data analytics.

Increase your ability to understand and interpret data in the Predictive Analytics in Business online program from IE University, Spain’s highest-ranked university.1 Over five weeks, you’ll develop an understanding of how predictive models can improve your ability to make decisions in a fast-paced business world. Leveraging the Cross-Industry Standard Process for Data Mining (CRISP-DM), you’ll gain an iterative approach to predictive analytics for business strategy, brought to life by real-world case studies. Guided by IE’s award-winning Dr. Rafif Srour Daher, you’ll learn to define business objectives, assess data quality, and action model outputs.

The program demonstrates the technical aspects of developing predictive models using Python. Activities are pre-populated with code, allowing you to engage with the technical process concepts without needing Python language proficiency. Some statistical, algebraic, and calculus knowledge is advised, but isn’t required.

1 IE University (2021).

Is this program for you?

Relevant to analysts and analytics managers across industries, this program presents the opportunity to transform knowledge into impact and drive innovation at an organizational level. Professionals that require strong analytical skills in sectors such as operations and finance can benefit from this program’s qualitative focus. Business intelligence and functional analysts, including analytics managers in sectors such as marketing, finance, data, and business intelligence, will profit from the data-oriented approach. This program will also be advantageous to those wanting to develop predictive models using Python. Knowledge of a functional or object-oriented language is beneficial but not required.

What will set you apart

On completion of this program, you’ll walk away with:
Knowledge of how predictive analytics can be applied to gain insights from data and achieve business goals.
Practical application skills gained from hands-on exercises in regression analysis, classification models, and time-series forecasting.
Insights into the real-world challenges and implementation of predictive analytics through various case studies in areas such as supply chain, financial services, and Customer Lifetime Value (CLV).
A guided roadmap to approaching predictive analytics using the CRISP-DM process model.
Unlimited access to 2U’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.