Online or onsite, instructor-led live Forecasting training courses demonstrate through interactive hands-on practice how to use statistical methods, machine learning techniques, and time series analysis to analyze historical data, identify patterns, and make accurate predictions for future trends.
Forecasting training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Bologna onsite live Forecasting trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Bologna
NobleProg Bologna, Via Ferruccio Parri, Bologna, italy, 40128
Good connection with the international airport of Bologna, very convenient for those who arrive through the ring road (tangenziale) and close to the central station. Few minutes from the centre of Bologna.
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 ...)
This instructor-led, live training in Bologna (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.
By the end of this training, participants will be able to:
Understand the fundamentals of forecasting techniques in R.
Apply exponential smoothing and ARIMA models for time series analysis.
Utilize the ‘forecast’ package to generate accurate forecasting models.
Automate forecasting workflows for business and research applications.
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Testimonials (2)
A lot of knowledge - theoretical and practical.
Anna Alechno
Course - Forecasting with R
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 caliber of trainer in the context of personal tuition.. . Hancock International.
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