An Intensive 5-day Training Course

Advanced Applied Data Analysis

Using Data Analysis to Improve Business & Investment Decisions

CPE - Continuing Professional Education
Advanced Applied Data Analysis
Advanced Applied Data Analysis

CLASSROOM DATES

Date Venue Fee CPE Credit
Date: 08-12 Dec 2025
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 02-06 Feb 2026
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 13-17 Apr 2026
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 15-19 Jun 2026
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 07-11 Dec 2026
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
Enroll Now

ONLINE DATES

Date Venue Fee
Date: 08-12 Dec 2025
Venue: Live/Online
Fee: US $3,950
Enroll Now
Date: 15-19 Jun 2026
Venue: Live/Online
Fee: US $3,950
Enroll Now
Date: 07-11 Dec 2026
Venue: Live/Online
Fee: US $3,950
Enroll Now

INTRODUCTION

The Applied Data Analysis Training Course by EuroMaTech equips professionals with the advanced analytical, statistical, and technical skills needed to transform complex data into actionable insights. Designed for individuals who aim to become proficient in applying data analysis for financial, operational, and strategic decisions, this course strengthens participants’ ability to evaluate performance and make sound business judgments.

Through this Applied Data Analysis Course, participants will explore advanced methods for collecting, interpreting, and presenting data using modern analytical tools. The training enhances decision-making capabilities across investment, project management, and business performance contexts, ensuring participants can apply data analysis confidently in their daily roles.

Practical case studies, interactive exercises, and Excel-based demonstrations are integrated to ensure learning is immediately transferable to the workplace. Participants will develop technical mastery and analytical confidence that can significantly improve their organizational impact.

Key highlights of Applied Data Analysis Course:

  • Applying advanced analytical techniques to enhance business insight
  • Strengthening communication through statistical and graphical data interpretation
  • Utilizing advanced Excel tools for data modeling and forecasting
  • Developing statistical accuracy for strategic decision-making
  • Applying data analysis techniques to financial and operational scenarios

TRAINING OBJECTIVES

The Applied Data Analysis Training Course aims to enable participants to:

  • Collect, organize, and analyze business data effectively
  • Develop and manage Pivot Tables for complex analysis
  • Apply Excel Data Analysis Tools for real-world decision-making
  • Perform regression analyses including linear, non-linear, and multiple regression models
  • Integrate analytical approaches to improve project and financial management outcomes

WHO SHOULD ATTEND?

This Applied Data Analysis Training Course is ideal for professionals seeking to expand their analytical expertise and data interpretation skills, including:

  • Business Analysts and Financial Professionals
  • Project Managers and Decision-Makers handling performance data
  • Engineers and Operations Managers managing performance metrics
  • Data Analysts aiming to advance their analytical capabilities
  • Professionals who use Excel for forecasting, budgeting, or reporting
  • Individuals responsible for improving efficiency through data-driven insights
Training methodology

TRAINING METHODOLOGY

The EuroMaTech Applied Data Analysis Course combines instructor-led sessions, practical demonstrations, and guided exercises using Microsoft Excel and its advanced data analysis tools. Participants will actively engage in exercises that simulate real-world business challenges, ensuring theoretical concepts are linked to practical applications.

The approach ensures participants leave with hands-on proficiency in applying advanced analytical and statistical methods directly to their workplace projects.

TRAINING SUMMARY

The Applied Data Analysis Training Course by EuroMaTech provides a comprehensive approach to mastering advanced analytical skills for effective business performance improvement. Participants will learn how to collect, process, and evaluate data to generate reliable forecasts, optimize operations, and strengthen decision-making across all business functions.

By completing this training, participants will gain the expertise to interpret statistical data, create predictive models, and analyze performance metrics with precision. This advanced training empowers professionals to transform raw data into meaningful insights that drive profitability, efficiency, and long-term organizational success.

TRAINING OUTLINE

Day 1: Data Collection, Presentation and Analysis
  • Data and Methods of Collecting Data
  • Presentation of Data Using Excel
  • Statistical Analysis of Data – Mean, Median and Mode, Variance and Standard Deviation
  • Probability – Binomial, Normal and Poisson Distribution
  • The Limitations of Data and Data Analysis
  • Confidence Intervals and Hypothesis Testing
Day 2: Pivot Tables and Data Analysis Tools in Excel
  • Pivot Tables – Developing and Using Pivot Tables to Aid Decision Making
  • Cross Tabulation and Chi-Squared
  • Data Analysis Tools in Excel – A Detailed Understanding
  • ANNOVA, T-Tests and Z Scores
  • Moving Average and Exponential Smoothing
  • Advanced and Applied Solver and Goal Seek
Day 3: Advanced Correlation and Regression
  • Co-Variance and Correlation
  • Linear Regression
  • Non-Linear Regression
  • Multiple Regression Using Excel
  • Statistically Testing Results
  • Making Decisions – Project Planning, Estimating Costs; Reducing Risk
Day 4: Project Management and Applied Data Analysis
  • Forecasting Costs and Production levels
  • Estimating Project Duration using Statistical Estimates and P.E.R.T
  • Network and Critical Path Analysis
  • Economic Quantity Order Analysis – To Optimise Inventory Levels
  • Linear Programming and Optimisation Techniques to Optimise Resource Allocation E.g. Inventory and Capital
  • Earned Value Analysis – To Identify Project Cost and Schedule Variances
Day 5: Financial Management and Applied Data Analysis
  • Analysing and Forecasting Volatility in the Market, e.g. Oil Prices
  • Evaluating Suppliers, Competitors and Acquisition Targets using Data Analysis
  • Developing Financial Models
  • Cost, Volume, Profit Analysis
  • Risk Management using Data Analysis
  • Evaluating the Impact of Decisions on Return on Investment and Return on Equity
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    ACCREDITATION

    EuroMaTech is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org.

    Euromatech is a Knowledge & Human Development Authority (KHDA) approved training institute in Dubai, licensed and approved to deliver training courses in the UAE.

    The KHDA is the regulatory authority in the UAE, that oversees administering, approving, supervising, and controlling the activities of various education providers in the UAE.  We are proud of our commitment to ensuring quality training courses and status as a KHDA-approved training provider.

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