Data Visualization and Descriptive Statistics (3 days)
by Walid SemaanLanguages: English
Price (from): €1,250 / 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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Data Visualization and Descriptive Statistics (3 days) by Walid Semaan
About the training
OVERVIEW
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.
OBJECTIVES
By the end of this workshop, you will be able to:
- Comprehend and plan the lifecycle of a good data analysis project
- Translate any business into a comprehensive data base
- Evaluate data quality for analysis and reporting
- Explore all sampling methods and pitfalls of data collection
- Highlight the power of graphs
- Describe and interpret data basics with complete descriptive statistics
- Understand and interpret estimations based on samples’ results
CONTENT
The different types of:
- Data sources
- Data
- Variables
All about sampling methods
- Random and systematic
- Multilevel, Stratified and cluster
- Convenient, quota and judgmental
Data visualization
- Pies / Doughnuts / Bars
- Histograms / Lines / Scatter plots
- Heat maps / Tuckey boxes
- Geographical maps
Data Analysis project best practices
- Ask
- Design
- Preview
- Analyze
- Communicate
Central Tendency Measurements
- Average
- Median
- Mode
Scatter Tendency Measurements
- Quartile
- Variance
- Standard deviation
Estimations
- Central Limit Theorem
- Punctual estimations
- Confidence Intervals
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 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)