HTME

COURSE OVERVIEW

GE0755 : Data Analysis Techniques
Data Analysis Techniques
OVERVIEW
COURSE TITLE:GE0755 : Data Analysis Techniques
COURSE DATE:Oct 21 - Oct 24 2024
DURATION:4 Days
INSTRUCTOR:Dr. Mike Tay
VENUE:Abu Dhabi, UAE
COURSE FEE:$ 4500
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OTHER SCHEDULED DATES
Date : Apr 22 - Apr 25 (4 Days) Location : Dubai, UAE Classroom Fee (US$) : $ 4500 Course Info
Date : Jul 08 - Jul 11 (4 Days) Location : Al Khobar, KSA Classroom Fee (US$) : $ 4500 Course Info

Course Description

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops.improvement in work place efficiencies and reduced operating, maintenance, support service and administration costs means that managers, analysts and their advisors are faced with ever-challenging performance targets. In order to make decisions resulting in improved business performance, it is vital to base decision making on appropriate analysis and interpretation of data. This course adopts an applications-oriented approach, minimizing the time spent on the mathematics of analysis and maximizing the time spent on the use of practical methods and understanding why such methods work . Delegates will explore Excels functionality and Data Analysis Tool Pack to investigate realistic data from a wide range of technical and non technical example applications.Organizations that are able to make optimum decisions will enhance their ability to compete on the global stage. The participants on this course, and therefore the teams that they work within will, as a result of their training, be better positioned to influence the organization with recommendations based on objective data analysis that in turn produce a higher performing business.Individuals exposed to this training will develop new insights into the field of data analysis, and they will learn why the best companies in the world see data analysis essential to delivering the right quality products and services at the lowest costs. Participants will gain an understanding and practical experience of a range of the more common analytical techniques and data representation methods, which have direct relevance to a wide range of issues. The ability to recognize which types of analysis are best suited to particular types of issue. A sufficient background and theoretical knowledge to be able to judge when an applied technique will likely lead to incorrect conclusions.

link to course overview PDF

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies:

Lectures
Workshops & 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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