A Highly Interactive Training Course On

Data Visualization & Statistical Techniques for Effective Decision Making

Turning Complex Data into Clear Business Insights

Data Visualization & Statistical Techniques for Effective Decision Making
Course Schedule

CLASSROOM

11-15 Aug 2025
Istanbul
$5,950
15-19 Sep 2025
Manama
$5,950
24-28 Nov 2025
Dubai
$5,950
30 Mar-03 Apr 2026
Dubai
$5,950
29 Jun-03 Jul 2026
Dubai
$5,950
10-14 Aug 2026
Istanbul
$5,950
23-27 Nov 2026
Dubai
$5,950

ONLINE

01-05 Sep 2025
Online
$3,950
23-27 Mar 2026
Online
$3,950
31 Aug-04 Sep 2026
Online
$3,950
Certificate
  • Coventry Academy Certificate of Attendance will be provided to delegates who attend and complete the course

Training Overview

Training Overview

In today’s data-driven business landscape, the real edge lies not in collecting information, but in the ability to analyze it meaningfully and communicate insights that drive action. While organizations generate vast volumes of data from sources like sales, marketing, customer service, finance, and operations, this raw data only becomes valuable when transformed into knowledge that informs strategic decisions.

The Data Visualization & Statistical Techniques for Effective Decision Making training course is designed to empower professionals with the analytical and communication skills needed to bridge the gap between data and decision-making. Participants will learn to apply essential statistical techniques to uncover, analyze, and validate insights, and then convert those insights into clear, impactful visualizations that resonate with stakeholders.

The course covers both foundational and advanced concepts in statistics and exploratory data analysis, with hands-on training using tools such as Microsoft Excel and Power BI. Through practical exercises, case studies, and real-world applications, attendees will build the confidence to use data to tell compelling stories, identify opportunities, and support key business goals.

From crafting insightful dashboards and understanding customer trends to making accurate forecasts and guiding strategic planning, this course equips participants with a powerful combination of analytical thinking and visual storytelling. Designed to be highly practical and interactive, it ensures that learners walk away with skills they can immediately apply in their roles—turning data into a catalyst for smarter, faster decisions.

What are the goals?

By the end of this training course, participants will be able to:

  • Understand and apply key statistical concepts to analyze business data effectively
  • Conduct exploratory data analysis (EDA) to identify trends, relationships, and anomalies
  • Select appropriate statistical tests and interpret their results confidently
  • Design clear, insightful data visualizations that align with communication goals
  • Use tools like Excel and Power BI to create interactive reports and dashboards
  • Tell compelling stories with data to influence stakeholders and support strategic decisions
  • Build an action plan to apply these techniques immediately in their roles

Who is this Training Course for?

This training course is suitable to a wide range of professionals but will greatly benefit: 

  • Business analysts, data analysts, and reporting specialists
  • Managers, team leaders, and department heads who need to interpret and communicate data
  • Finance, marketing, operations, and supply chain professionals seeking to enhance decision-making through data
  • Anyone who prepares business reports, dashboards, or presentations requiring data-backed insights

How will this Training Course be Presented?

This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.

The Course Content

Day One: Foundations of Data Analysis & Descriptive Statistics
  • The strategic importance of data analysis in modern business
  • Understanding data types: categorical vs. numerical, continuous vs. discrete
  • Measures of central tendency: mean, median, mode — when and why to use each
  • Measures of dispersion: range, variance, standard deviation, coefficient of variation
  • Introduction to the normal distribution and why it matters
  • Practical exercises using Excel for calculating and summarizing data
Day Two: Exploring Data & Basic Inferential Statistics
  • Introduction to exploratory data analysis (EDA) – objectives and benefits
  • Visual tools for EDA: histograms, boxplots, scatterplots
  • Identifying outliers and data anomalies
  • Correlation analysis: understanding relationships between variables
  • Basics of inferential statistics: confidence intervals, hypothesis testing (t-tests, chi-square)
  • Hands-on labs using sample datasets
Day Three: Data Visualization Principles & Best Practices
  • Why visuals matter: cognition and data communication
  • Principles of effective data visualization: simplicity, clarity, focus
  • Choosing the right visual: comparisons, relationships, distributions, compositions
  • Avoiding common pitfalls: misleading scales, clutter, cherry-picking data
  • Building professional visuals in Excel (charts, pivot charts) and customizing for impact
  • Storyboarding a data presentation
Day Four: Advanced Visualizations & Interactive Dashboards
  • Multi-variable charts: combo charts, bubble plots, heatmaps
  • Introduction to Power BI (or optional Tableau overview)
  • Designing interactive dashboards: slicers, drill-downs, trend lines
  • Bringing data from multiple sources: Excel + external files in Power BI
  • Hands-on exercise: creating a dynamic sales performance dashboard
Day Five: From Analysis to Data Storytelling & Presentation
  • Principles of data storytelling: structure, context, audience focus
  • Building a compelling narrative with data: what story are you telling?
  • Workshop: participants develop a mini-project using their chosen dataset
  • Group presentations with peer & instructor feedback
  • Developing a personal action plan: how to apply these tools and techniques in your role

Providers and Associations

Anderson
Anderson
Aztech Training
Aztech Training
COPEX
COPEX