HTME

COURSE OVERVIEW

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

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies as a percentage of the total tuition hours

Lectures
Workshops & Work Presentations
Case Studies & Practical Exercises
Videos, Software & Simulators

In an unlikely event, the course instructor may modify the above training methodology before or during the course 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 to participants through Haward’s Portal. This includes Wallet Card Certificates if applicable
Training Materials: Only soft copy Training Materials (PDF format) will be issued to participant through the Virtual Training Platform
Training Methodology: 80% of the program will be theory and 20% will be practical sessions, exercises, case studies, simulators or videos
Training Program: The training will be for 4 hours per day starting at 09:30 and ending at 13:30
H-STK Smart Training Kit: Not Applicable
Hands-on Practical Workshops: Not Applicable
Site Visit: Not Applicable
Simulators: Only software simulators will be used in the virtual courses. Hardware simulators are not applicable and will not be used in Virtual Training

RELATED COURSES