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Data Analysis for Experts (3 days)

by Walid Semaan

Languages: English

Price (from): €1,300 / day

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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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Data Analysis for Experts (3 days) by Walid Semaan

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:

  • Comparing dependent samples analytics with independent ones
  • Comparing non-parametric analytics with parametric ones
  • Facing the two types of errors in statistical tests with « power analysis »
  • Calculating sample size with scientific methods
  • Understanding factors that influe sample size
  • Understanding the different errors while defining sample size
  • Manipulating multiple software solutions with correct interpretation of results

 

CONTENT

Two Group Dependent Samples

  • Two Mean test
  • Two Variance test
  • Two Proportion test
  • Two Distribution test

Multiple Group Dependent Samples

  • Multiple Mean test (with and without replication)
  • Multiple Variance test
  • Multiple Proportion test
  • Multiple Distribution test

Non Parametric tests

  • Man Whitney test
  • Wilcoxon rank tests
  • Kruskal Wallis test
  • Spearman correlation test

Power tests

  • Comparing Type Error I and II
  • Two groups analysis
  • Multiple groups analysis
  • Power test relation with Type Error I and II

Calculating Sample’s size for

  • Means
  • Proportions
  • Power test effect

 

 

Main benefits

  • #Wide collection of the biggest experts
  • #Filters for all kinds of needs
  • #User friendly platform
  • #Fast and cheap
  • #Highest level of proficiency