COURSE OVERVIEW
GE0751 : Big Data Analysis
OVERVIEW
COURSE TITLE | : | GE0751 : Big Data Analysis |
COURSE DATE | : | May 13 - May 17 2024 |
DURATION | : | 5 Days |
INSTRUCTOR | : | Mr. Kyle Bester |
VENUE | : | Abu Dhabi, UAE |
COURSE FEE | : | $ 5500 |
Request For Course |
OTHER SCHEDULED DATES
Date | : | Aug 11 - Aug 15 2024 (5 Days) | Location | : | Al Khobar, KSA | Classroom Fee (US$) | : | $ 5500 | Course Info |
Date | : | Nov 09 - Nov 13 2024 (5 Days) | Location | : | Dubai, UAE | Classroom Fee (US$) | : | $ 5500 | Course Info |
Course Description
This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using ?MS Excel? applications.This course is designed to provide participants with a detailed and up-to-date overview of advanced data analysis. It covers the science and business operational decision analysis; the importance and benefits of utilizing quantitative data analysis for business decision making; the benefits of using MS excel for data analysis and other programs; the rules of probability, probabilities of joint event, reliability engineering and systems, parallel systems, conditional probabilities and Bayes theorem; and calculating probabilities, analysing and testing data using applied statistics. During this interactive course, participants will learn the statistical basics and comparison based on central tendency; measuring variability and spread; the optimal production loadings and workforce scheduling; using control charts for quality control; the Six Sigma quality and customizing and reporting variable for all stakeholders; the on-line dashboards at multiple levels available for knowledge sharing; monitoring data overtime for progress reporting and trend evaluation; the experiments and the scientific method; the experimental design principles; the one factor-at-a-time versus designed experiments; and the guidelines for designing experiments.
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies:
LecturesWorkshops & Work Presentations
Case Studies & Practical Exercises
Videos, Software & Simulators
In an unlikely event, the course instructor may modify the above training methodology for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable:
Certificates | : | Only soft copy certificates will be issued |
Training Materials | : | Only soft copy materials will be issued |
Training Methodology | : | 80% theory, 20% practical |
Training Program | : | 4 hours per day, from 09:30 to 13:30 |
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