Price (from): €1,250 / day
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).
About the training
It all starts with a good data collection and/or selection. Doing that correctly necessitates a good comprehension of all data types and their multiple sources. Sturcturing that properly allows the ease of its visualization under different charts and describe all the results with adequate and efficient descriptive statistics measures.
This first level workshop highlights key points in designing a smart data collection process, sampling best approche, validating the quality of the information stored for analysis, all the visualization possibilities and their corresponding descriptive statistical KPIs.
By the end of this workshop, you will be able to:
The different types of:
All about sampling methods
Data Analysis project best practices
Central Tendency Measurements
Scatter Tendency Measurements
More trainings of the trainerData 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) Forecasting Models from A to Z (3 days)