Languages: English
Price (from): €1,300 / 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
OVERVIEW
Data scientists can be easily confronted with non-conform data when analyzing two or multiple groups statistically. In many fields, data they are faced in tracking statistically the same group over several periods. And moreover, it is frequent to have non proper data for analysis. For both these situations, all data analysis techniques should shift to the statistical science related to “dependent” samples as well as “non-parametric” tests, the alternatives of parametric ones (Data Analysis for Professionals).
On the other hand, what about defining sample size, the question that is frequently raised while designing an analytical project? Should we adopt the Big Data solution where all the data is accounted? This course will bring the answer to all those queries, their advantages and disadvantages.
OBJECTIVES
By the end of this workshop, you will be able to:
CONTENT
Two Group Dependent Samples
Multiple Group Dependent Samples
Non Parametric tests
Power tests
Calculating Sample’s size for
More trainings of the trainer
Data Visualization and Descriptive Statistics (3 days) Data Analysis for Professionals (5 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)