Data Analysis Techniques

Course Overview

The world is under a lot of pressure and stress within the whole range of industries. The global pandemic has influenced everything, and the world and industries have shown that they are hyper-depended on data analytics. This phenomenon of modern times requires people to acquire knowledge and skills for proper gathering, analysis, and final understanding and use of the data. This Data Analysis Techniques training course provides comprehensive information on a complete set of Data Analytics, Analysis Techniques, and software used to analyse the available Data.

In whatever area we work in, new data is available, and the ability to extract, model and analyse information is a make-it-or-break-it issue today as well as in the industries of the future. Data Analytics helps enterprises identify trends and adjust operational procedures to harness the results, increase revenue and client experience, and identify, avoid or tackle the risks within the business environment.

Living in a data-rich age, we must understand that analysing and extracting true meaning from our business’s digital insights is one of the primary drivers of success. It focuses on the colossal volume of data we create daily. It will benefit the participants how to analyse the data as, with so much data and so little time, knowing how to collect, curate, organise, and make sense of all of this potentially business-boosting information, as well as ensure business sustainability.

Course Objectives

After the training course, the participants will learn to:

• Understand the importance of Data for the digitalised world
• Appreciate when to apply Data Analytics
• Choose Appropriate Models and Technology for Data Analytics
• Learn from the best examples of Data Analytics usage
• Know how to achieve results from Data Analytics

Target Audience

This training course is designed and appropriate for anyone included in the Data Analytics process, which in today’s world would mean almost anyone.

It is suitable for a wide range of working professionals, including (but not limited to) the following:

• Data Analyst
• Data Scientists
• Business Analysts
• Chief Technology Officer (CTO)
• Chief Information Officer (CIO)
• Statisticians and Technology Personnel
• Marketing and Research Specialists
• Project Managers
• Project Engineers
• Supply Chain and Logistics Personnel
• Any Professional involved in Data Analytics Technology Engineers

Training Methodology

The participants will be taught learning techniques that ensure maximum understanding, comprehension, and retention of the information presented. The training methods will vary depending on their needs, from front-end to blended learning. It is divided through information received, participation, and Learning by Doing to provide the highest level of apprehension and retention of the presented material. They will be working on case studies and doing a hands-on project, and at the end of the training course, they will be assessed to determine the level of knowledge they have retained.