Forecasting Models from A to Z (3 days)
by Walid SemaanLanguages: English
Price (from): €1,300 / day
About the trainer:
Walid Semaan is the founder and president of Matrix TRC "Data Science and AI Academy (partners with the SAS Data Science program). He graduated in engineering from Ecole Supérieure d’Ingénieurs à Beyrouth and holds a degree in finance and marketing from the Ecole Supérieure de Commerce de Paris (ESCP) and an MBA from the University Paris-Dauphine-Sorbonne in Paris. He is the creator and architect of the automated analytical artificial intelligence behind “Triple One Analytics,“ winner of the Best Innovative ICT Project at the 2011 Arab Golden Chip Award. Walid is the trainer of all the workshops he wrote, related to research methodologies, data visualization, data analytics, machine and deep learning, quality control, forecasting, epidemiology and big data ecosystem, as well as mostly used proprietary and open-source data analytical tools. Walid joined lately Fleming Events - Europe as an expert trainer in Data Science and is an expert certified trainer in the Middle East for SAS, PWC Academy, MEIRC-PLUS Training, Abu Dhabi Business School, Formatech and Obeikan Digital College. In parallel, he holds thousands of hours teaching master programs at Saint Joseph University, assisting Ph.D. students in their advanced analytics programs, and training local and international companies, to name few from dozens: Central Bank of Lebanon (Lebanon), PWC (Dubai), Vlerick Business School (Belgium), SCAD (Abu Dhabi), OXY Petroleum (Oman), IPSOS (Lebanon), Obeikan Group (KSA), Dallah Hospital (KSA), Smart Dubai (Dubai), DarkMatter (Dubai), Indevco Industries (Lebanon and Egypt) and Algorithm Pharma (Lebanon).
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Forecasting Models from A to Z (3 days) by Walid Semaan
About the training
OVERVIEW
There is always a confusion between Forecasting methodologies and predictive modeling with Supervised Machine Learning Algorithms. At the time the latter uses external information for its prediction, Forecasting uses is own data set for the job.
This workshop will allow a complete understanding of all forecasting methods and deploying them for the near future forecasting. It will go through basic models, then exploring the evolution of all other methods, facilitating by this their proper use. By going through all quality indicators, it will make participants able to select the best forecasting model for their businesses.
OBJECTIVES
By the end of this workshop, you will be able to:
- Compare Forecasting with Supervised Machine Learning
- Evaluate the relation between the future and the past
- Measure the impact of the past on the near future
- Analyze all forecasting methods and their evolution
- Develop all analytical models for estimation
- Master the precision measures of models’ quality
- Select the best model for forecasting
CONTENT
Trends
- Linear
- Polynomial
- Exponential
- Power
- Logarithmic
Averaging methods
- Simple Average
- Moving Average
- Weighted Moving Average
Exponential smoothing methods
- Single parameter method:
- Stationary
- Additive
- Multiplicative
- Holt’s double parameter method
- Winter’s triple parameter method:
- Stationary
- Additive
- Multiplicative
Time Series methods
- Multiplicative
- Additive
- Dummy variables
ARIMA: Box Jenkins method
- Making Data Stationary
- “White Noise” Data
- “White Noising” … Errors
- Modeling and Forecasting
Main benefits
- #Wide collection of the biggest experts
- #Filters for all kinds of needs
- #User friendly platform
- #Fast and cheap
- #Highest level of proficiency
More trainings of the trainer
Data Visualization and Descriptive Statistics (3 days) Data Analysis for Professionals (5 days) Data Analysis for Experts (3 days) AI with “Supervised” Machine Learning (5 days) AI with “Unsupervised” Machine Learning (5 days) Introduction to Deep learning and NLPs for AI applications (3 days)