Big Data Analysis

Course Introduction

The countries of the world today have begun to move to the world of big data and how to exploit it in creating competitive advantage and institutional transformation to reach excellence through several tools, including strategic planning.

The intensification of competition and the acceleration of the pace of environmental changes and the increase in the demands and needs of customers made the institutions to introduce radical changes to the management systems. At the same time, the matter also focused on the analytical means and tools that the institutions use to rationalize their administrative decisions taken by managers. In the past, economic relations were not intertwined and complex as they are today, as well the huge amount of data available, all of this cast a shadow over the institutions and obliged them to find techniques and means that help in providing information to the decision makers.

Software and information technology scientists focused in cooperation with accountants and administrators, in building systems and tools that contribute to the foregoing. The strength of technology lies in the fact that it helps us achieve our goals correctly and effectively, but it remains a tool, nothing more, and the real power of the engine, input, and analyzer of this data remains to access information that explains and connects relationships to contribute to rationalizing administrative decisions.

Today, organizations face a huge amount of data that computers cannot absorb and deal with. The McKinsey Global Institute defined big data in 2011 as data that exceeds the capacity of any traditional database tools to capture, store, manage and analyze this data, whether it is organized or not. Of them, only 10% are organized, and from unorganized forms are e-mail, Facebook publications, WhatsApp and others. Rather, this forced the famous Oxford Dictionary to introduce an updated word into its pages, which is Big Data. Just to visualize the enormity of the data now, an Airbus 380 produces 7 billion lines of code every half hour.

All of this has made Big Data the next generation of computing that creates value through scanning and analysis on data. This huge data is characterized by its size, a number of terabytes per day, with its diversity, structured, unstructured and semi-structured.

Studies say that only 15% of companies benefit from this data through several means such as Hadoop and others, and they have achieved 20% more effectiveness in financial indicators, and to reach these results without your competitors, it is necessary to use new means, techniques and concepts to deal with this data.

Everyone is aware of the importance of training in bridging the performance gap in order to meet training needs in various fields, achieve goals, and work to achieve development and growth for individuals and institutions.

Training is a science and an art. It is a science that is taught and a skill that is acquired. We seek to provide the useful and interesting in the field of training.

Objectives

The participants will be able to:

·        Defining big data

·        Deal with big data

·        Analyze big data

·        Use Excel pivot tables to analyze big data

·        Use Tableau to analyze big data

Training Methodology

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

• 30%   Lectures
• 30%   Workshops & Work Presentations
• 20%   Case Studies & Practical Exercises
• 20%   Videos, Software & General Discussions

The course instructor may modify the above training methodology before or during the course for technical reasons with no prior notice to participants.

Organisational Impact

The professional impact should consist of 5 bullet points describing an explicit description of what a learner should know, understand and be able to do as a result of learning. Kindly refer to the BLOOMS TAXONOMY for the action verb to use in the learning outcomes.

 The participants will:

·        Have good knowledge of data types

·        Get familiar with Data processing mechanisms

·        Know the value and benefits of analyzing big data

·        Have enough information about different data analysis tools

·        Use analysis software to get results

Target Audience

• Directors of senior departments, executives, managers and heads of departments concerned with making decisions
• Supervisors and employees responsible for handling and analyzing data
• Participants who work in dealing with data
• Managers and employees of the technical offices of the leaders of companies and institutions
• Working groups for decision-making and technical studies
• Lecturers or trainers who wish to develop their skills in this field
• Workers in the field of information technology
• All those interested and willing to develop the skills of dealing with big data.

Daily Topics

For registration, course outline & more information please contact

NAYEL Training Centre 

Tel: +971 45587735 | Mob: +971 50 249 6876 | WhatsApp: +971 50 249 6876

Email:  [email protected]