IEUniversity: Predictive Analytics for Business Planning: Time-Series Forecasting

IEUniversity: Predictive Analytics for Business Planning: Time-Series Forecasting

by IE University

About This Course

This course on forecasting and predictive analytics is designed to equip you with the necessary knowledge and skills to apply these sophisticated techniques in real-world settings. It tackles how to estimate future outcomes based on historical data, explores various forecasting methods, and highlights the importance of data quality and stakeholder engagement in building predictive models. With a focus on supporting strategic decision-making, the course helps in understanding the implementation challenges in a business landscape transitioning toward data-driven operations.

What Students Will Learn

  • Evaluate projected demands to optimize supply chain operations.
  • Choose appropriate forecasting techniques based on business objectives.
  • Identify key considerations in predictive analytics workflow enhancements, such as data quality, integration, and governance.
  • Apply change management strategies for effective deployment of data-driven processes in organizations.
  • Evaluate practical applications, strengths, and limitations of predictive analytics.

Pre-requisites

None specified, suggesting it is accessible to individuals with general knowledge in data analysis and statistics at an intermediate level.

Course Coverage

  • Introduction to Forecasting and Predictive Analytics
  • Time-series Forecasting Techniques
  • Developing Predictive Models for Business Strategy
  • Data Quality and Governance
  • Change Management in Data-Driven Operations

Intended Audience

This course is ideal for business analysts, data analysts, and professionals involved in operations or supply chain management seeking to enhance their decision-making capabilities through predictive analytics. It is also suitable for anyone interested in understanding the application of data science in business contexts.

Real-World Application

Learners equipped with the knowledge from this course can anticipate business trends and make informed decisions that enhance operational efficiency. They can deploy forecasting models to predict consumer demand and adjust business strategies accordingly. Furthermore, mastering predictive analytics bolsters one’s ability to lead data-driven initiatives within organizations, fostering a culture that embraces informed decision-making based on robust analytical evidence.

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