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5-Day Training Course

Data Analysis Techniques

Analysis Methods and Evidence-based Decision-making using Microsoft Excel

Course Overview

Everyone agrees that evidence-based decision making is the key to corporate high performance. In a world where everything is now measured and recorded, the data that companies hold can be a very rich and powerful source of evidence, but only if it can be analyzed and interpreted accurately and reliably. This Data Analysis Techniques training course shows delegates, by example, how to analyze and interpret data and hence how to make robust and defensible evidence-based business decisions.

The Data Analysis Techniques training course shows delegates how to use Microsoft Excel to perform a wide range of powerful analysis and interpretations, using real data. This is possible because, although most people are familiar with Microsoft Excel, they generally only use a small fraction of its true capability. This training course will show delegates how to make the most of Excel by explaining and demonstrating many of the very powerful analytical, visualization and interpretation capabilities that it is capable of.

This Energy Training Centre training course will highlight how to:

  • Approach a data analysis problem in a logical manner
  • Maximize the accuracy of analysis and minimize the chance of errors
  • Extract and represent information from complex numerical data
  • Interpret features from within data and make evidence-based decisions
  • Perform a ‘what if’ scenario analysis
  • Predict the future behavior of a system or a process using regression analysis
  • Predict the future behavior of a system or a process, using data science methods
  • Use analysis of variance (ANOVA) to minimize the risk of false interpretation
  • Make the most of Microsoft Excel by using many of the advanced features that it contains

Course Objectives

This training course aims to provide those involved in analyzing numerical data with the understanding and practical capabilities needed to convert data into information via appropriate analysis, how to represent these results in ways that can be readily communicated to others in the organization, and how to use the information to make evidence-based business decisions.

At the end of this Data Analysis Techniques training course, you will have:

  • A good understanding and extensive practical experience of a range of common analytical techniques and interpretation methods for numerical data
  • The ability to recognize which types of analysis are best suited to particular types of problems
  • The ability to judge when an applied technique will likely lead to incorrect conclusions
  • A good understanding of a wide range of common statistical methods and approaches
  • The ability to use Microsoft Excel 2016, 2019 or 365 to analyze and interpret a wide range of real data types
  • Experience of how to transform numerical data into evidence and hence how to make informed business decisions

It should be noted that the course does not cover the subjects of data acquisition, databases, data management, dashboards or the analysis of text-based information.

Training Methodology

This Data Analysis Techniques training course adopts a problem-based learning approach, whereby delegates are presented with a series of highly realistic data analysis problems, which are drawn from the widest possible range of applications – from engineering to finance and from product sales to six sigma quality control.

Each problem has been carefully chosen to present and exemplify a specific data analysis approach. All of the analytical methods are generic, meaning that they can be applied to data from any industry sector, business type or organization.

The training course is entirely hands-on, with delegates spending all of their time working in Microsoft Excel to solve the problems posed.

Who Should Attend

This training course has been designed for any professional whose job involves the manipulation, analysis, representation and interpretation of data, including the subsequent evidence-based business decision making process.

Familiarity with a PC and in particular with Microsoft Excel (2013 or higher) is assumed, and delegates will be expected to be numerate and to enjoy working with numerical data on a computer.

This Data Analysis Techniques training course is suitable for a very wide range of professionals from any industry sector, but will greatly benefit people working in the following fields:

  • Performance assessment and monitoring
  • Planning
  • Data analysis
  • Management and leadership
  • Finance
  • Human resources
  • Quality control
  • Engineering and technology
  • …in fact, any job function which uses data to make decisions.

Course Curriculum

  • Importing data into Excel
  • Best practice when analyzing data
  • Analyzing and representing coded data
  • Descriptive statistics and their real meanings
  • Performing a frequency analysis
  • The use of pivot tables and pivot charts
  • Noisy and incomplete data, statistical significance and dealing with outliers

 

  • Plotting data against time
  • Generating data mode shapes
  • Fitting curves to data
  • Correlating mode shape to time-based events
  • Interpreting time series analyses
  • Moving average calculations

 

  • Representing analytical problems as multi-input, single-output (MISO) systems
  • Deterministic systems analysis
  • What if and visual scenario analysis
  • Dynamic / interactive spreadsheets and the use of forms control
  • Moving window, conditional and adaptive calculations
  • Measuring the sensitivity of calculated variables

 

  • Equations of curves
  • The prediction of future behavior using data shape – regression analysis
  • Linear, polynomial, exponential and power curve fits
  • The dangers of over-fitting
  • Data end effects
  • Goodness of fit (sum of square error – SSE) and R2
  • Evaluating equations, solving equations, and using Solver
  • Correlation and causality

 

  • Non-deterministic system
  • Data driven methods
  • One step ahead future prediction using data science (multivariate correlation)
  • Single factor analysis of variance (ANOVA)
  • Two factor analysis of variance
  • A demonstration of artificial intelligence – the travelling salesman problem

 

Certificates Awarded

Certificate of Completion

After successfully completing this training course, participants will be awarded The Energy Training Centre Certificate of Completion — a respected validation of their dedication to continuous learning and professional excellence. This certificate signifies that participants have gained the essential knowledge and skills required to make a measurable impact in their field.

Upcoming Sessions
Dubai, UAE
Live Virtual Session
Live Virtual Session
London, UK
Dubai, UAE
London, UK
Dubai, UAE
Live Virtual Session
London, UK
Live Virtual Session
Dubai, UAE
London, UK
Dubai, UAE
Dubai, UAE
Live Virtual Session

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Frequently Asked Questions

Our training courses are conducted at partnered hotels located within the specified training areas. Please note that venue assignments may vary based on availability. For the most current information, do not hesitate to contact us at [email protected].

Yes, we do. We provide tailored training courses designed to meet the specific requirement of larger group of individuals. These customized training courses can be conducted both classroom and online formats, allowing you the flexibility to choose you preferred dates and duration.

Please contact us at [email protected] to discuss your group’s training needs, and we’ll work with you to create a personalized training course that aligns with your objectives.

Upon successful completion of the training course, you will receive The Energy Training Centre Certificate of Completion with corresponding learning hours.

Yes, special discounts are available upon request if you have more than one registrant for a course. For further information please email us at [email protected]

We offer two convenient payment options:

  • Bank Transfer – You can make payment via bank transfer. Once your registration is confirmed, you will receive an invoice with the banking details for the transfer. We would require you to supply a swift copy for us to confirm receipt of funds.
  • Payment Link – Alternatively, we provide a secure payment link that you can use to complete your payment after your registration has been confirmed.

Upon receiving your registration details, either via email at [email protected] or through our online registration form, we will send you the following by email within 24-48 hours of registration.

  • Joining Instructions
  • Invoice/receipt (where appropriate)

There are two convenient options to register for a training course:

  • Online Registration Form – Register for your desired training course by completing the online registration form available on our website. Simple click on the registration button or select your preferred dates and provide the requested information.
  • Email Registration – You can email us your intention to register at [email protected]. Our team will guide you through the registration process and provide assistance you may need.

We understand that time zones may be different between our Senior Consultants and our delegates. Our standard online course timings (11:00 AM to 4:00 PM, GMT+4 – Dubai, UAE) may be adjusted upon confirming the programme. Our team shall communicate between the confirmed registered delegates and suggest a suitable course timing for all.

Our standard course duration for our classroom programmes is 6 hours per day while our online session is 5 hours per day.

Our training courses span across diverse industries, encompassing sectors such as but not limited to:

  • Power & Utilities
  • Oil & Gas
  • Financial Institutions
  • Government and Regulatory bodies
  • Manufacturing & Production Industry

Our commitment lies in continuously refining and expanding our training course offerings to align with evolving industry landscapes. We encourage individuals to explore our website or engage with our dedicated support team for the latest information on available courses, ensuring access to the most pertinent and current educational resources.

Yes, The Energy Training Centre is certified and recognized by several prominent industry standards. Specifically, it holds certifications from ILM, Continuing Professional Development (CPD), and the Project Management Institute (PMI).

  • ILM (ID# 002398B) – This certification indicates that our training programmes meet high standards for leadership and management development, ensuring that they are designed to enhance participants’ skills in these critical areas.
  • Continuing Professional Development (CPD) – Our recognition by CPD reflects our commitment to providing educational opportunities that support ongoing professional growth and skill enhancement. This accreditation ensures that our training courses are relevant and effective for professionals seeking to advance their careers.
  • Project Management Institute (PMI) – Being recognized by PMI signifies that our training programmes align with industry best practices in project management. This certification assures participants that our offerings are in line with the standards required for effective project management and are valuable for those pursuing or maintaining PMI credentials.

These certifications underscore our dedication to providing high-quality, industry-relevant training that fosters professional growth and meets established standards. Additionally, we are actively pursuing further certifications and affiliations to enhance our offerings and ensure we remain at the forefront of industry best practices.

About Energy Training Centre

Energy Training Centre is a leading provider of professional development programs for the energy and public sectors. With over 15 years of experience, we have trained more than 50,000 professionals across the Middle East and beyond.

Our expert-led courses are designed to meet the evolving needs of modern organizations, combining theoretical knowledge with practical applications that deliver immediate value to your career and organization.

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