Available either online or on-site, these instructor-led live Forecasting courses guide participants through interactive, hands-on exercises to master the application of statistical methods, machine learning techniques, and time series analysis. These sessions focus on analyzing historical data, uncovering underlying patterns, and generating precise predictions for future trends.
Forecasting training can be accessed as "online live training" or "onsite live training." The online live format (also referred to as "remote live training") is facilitated through an interactive remote desktop environment. Alternatively, onsite live training can be delivered directly at your customer premises in Bangkok or at NobleProg’s corporate training centers located in Bangkok.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
Designed for intermediate-level data analysts and business professionals, this instructor-led live training (delivered online or onsite) in Bangkok enables you to perform time series forecasting and automate data analysis workflows using R.
By the end of the session, you will be equipped to:
Comprehend the fundamentals of forecasting techniques in R.
Apply exponential smoothing and ARIMA models to time series data.
Utilize the 'forecast' package to create accurate forecasting models.
Automate forecasting workflows for business and research contexts.
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