Forecasting Training Courses

Forecasting Training

Forecasting courses

Client Testimonials

Forecasting with R

his knowlede and practical exemples

Irina Tulgara - British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA

Market Forecasting

What did you like the most about the training?:

Trainer's subject knowledge was such that complex subjects seemed easy, and he genuinely inspired me with enthusiasm for the topic. My session worked out as 1:1, and it was a real privilege to get the benefit of such a high calibre of trainer in the context of personal tuition.

Harry Frost - Babcock International

Market Forecasting

Real-world, practical application of statistical modeling; keeping theory at bay and business needs in the forefront.

Thanks Bernard and Iza. It was a very good course and I appreciate your work.

Shelly Kunkle - Michelin, North America

Market Forecasting

What did you like the most about the training?:

Trainer's subject knowledge was such that complex subjects seemed easy, and he genuinely inspired me with enthusiasm for the topic. My session worked out as 1:1, and it was a real privilege to get the benefit of such a high calibre of trainer in the context of personal tuition.

Harry Frost - Babcock International

Forecasting with R

Overview and understanding how big the topic is

British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA

Forecasting with R

A lot of knowldege - theoretical and practical

Anna Alechno - British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA

Forecasting Course Outlines

Code Name Duration Overview
mrkfct Market Forecasting 14 hours Audience This course has been created for analysts, forecasters wanting to introduce or improve forecasting which can be related to sale forecasting, economic forecasting, technology forecasting, supply chain management and demand or supply forecasting. Description This course guides delegates through series of methodologies, frameworks and algorithms which are useful when choosing how to predict the future based on historical data. It uses standard tools like Microsoft Excel or some Open Source programs (notably R project). The principles covered in this course can be implemented by any software (e.g. SAS, SPSS, Statistica, MINITAB ...)
frcr Forecasting with R 14 hours This course allows delegate to fully automate the process of forecasting with R

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