Forecasting

 

 


 

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Dec 5th 2016

You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R. With this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics.

Average: 8.5 (2 votes)
Nov 28th 2016

Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more.

Average: 6.8 (11 votes)
Nov 28th 2016

With a fixed capacity, a highly disposable product and high fixed costs, hotels are a natural candidate for the application of revenue management. Originally developed by the airlines in the 1970s, these analytics-based techniques help predict consumer behavior at the hotel’s market level so that the hotel can sell each room each night at the optimum price. With modern-day rising acquisition costs and distribution complexities, revenue management techniques have increasingly been adopted by both small and large hotel companies, making a comprehensive understanding of segmentation, forecasting and pricing an essential requirement for today’s hospitality professionals. The purpose of this course is to provide a core understanding of the fundamentals of revenue management, which ties into the larger picture of revenue strategy. The course is structured to provide an insightful look into Revenue Management.

Average: 5.7 (3 votes)
Oct 17th 2016

Les méthodes statistiques sont largement répandues dans presque tous les secteurs de l’activité humaine : sciences et techniques, économie, sciences humaines et sociales. Elles font partie des connaissances de base de l’ingénieur. Parmi les innombrables applications dans le domaine industriel, on peut citer le contrôle de qualité, la fiabilité, l’analyse des résultats de mesure, la prévision et la planification. L’objectif de ce MOOC est d’initier les apprenants aux raisonnements et aux méthodes statistiques usuelles. Les compétences développées portent sur les méthodes et outils de la statistique inférentielle utiles à l’ingénieur.

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Oct 17th 2016

Learn a scientific and practical approach for creating and evaluating forecasting solutions. Companies, governments and other organizations now collect and analyze huge amounts of data about suppliers, clients, employees, citizens, transactions, and much more. There are a number of ways organizations can use this data. Business analytics uses this data to make better decisions and forecasting is an arm of this predictive analytics. Forecasting especially can provide a powerful toolkit for analyzing time series data.

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Nov 25th 2015

Master the tools of predictive analytics in this statistics based analytics course.

Average: 1 (1 vote)
Oct 21st 2015

Learn how to create and assess forecasting models to predict macroeconomic variables such as inflation and economic growth

Average: 6.3 (3 votes)