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Data Visualization & Statistical Techniques for Effective Decision
course
IT Management and Cyber Security
Course Overview
In today’s business environment, organizations are inundated with data but often struggle to translate it into actionable insights. Success depends not only on analyzing data but also on communicating it effectively. The Data Visualization & Statistical Techniques Training Course equips professionals to move beyond raw numbers, using statistical tools and visualization techniques to support smarter, evidence-based decision-making.
This course provides a practical framework for interpreting data, uncovering trends, and creating compelling visual narratives with tools such as Excel and Power BI. Participants will explore statistical fundamentals, conduct exploratory data analysis, and learn to present complex information with clarity and impact. Through guided exercises, case studies, and real-world applications, attendees will gain the skills and confidence to drive strategic value from data and influence decision-making across their organizations.
Course Objectives
By the end of this course, participants will be able to:
Apply essential statistical techniques to analyze and validate business data.
Conduct exploratory data analysis (EDA) to identify patterns, trends, and outliers.
Select and apply appropriate statistical tests and interpret results accurately.
Design purposeful and visually engaging data presentations.
Utilize Microsoft Excel and Power BI to build interactive dashboards and reports.
Develop narrative-driven data stories that support organizational goals.
Translate statistical findings into actionable business strategies.
Course Audience
This course is ideal for professionals seeking to enhance their data analysis and visualization skills, particularly:
Data analysts, reporting officers, and business intelligence professionals.
Team leaders, department heads, and managers who rely on data-driven insights.
Professionals in finance, marketing, supply chain, and operations.
Individuals responsible for dashboards, executive reporting, or presentations.
Anyone aiming to strengthen decision-making through data interpretation and visualization.
Course Methodology
This training course employs an interactive, participatory learning approach. Participants will engage in:
Instructor-led sessions and demonstrations
Hands-on exercises with real-world datasets
Group discussions and collaborative activities
Case studies and mini-projects for applied learning
The course emphasizes combining analytical rigor with data storytelling, ensuring that participants not only understand statistical and visualization concepts but can also apply them effectively in their organizational roles.
Course Outline
Day One: Foundations of Data Analysis & Descriptive Statistics
Strategic importance of data analysis in business
Data types: categorical vs. numerical, continuous vs. discrete
Measures of central tendency: mean, median, mode — applications and interpretation
Measures of dispersion: range, variance, standard deviation, coefficient of variation
Introduction to the normal distribution and its relevance
Practical exercises in Excel for summarizing and analyzing data
Day Two: Exploring Data & Basic Inferential Statistics
Exploratory Data Analysis (EDA): objectives and benefits
Visual tools for EDA: histograms, boxplots, scatterplots
Detecting outliers and data anomalies
Correlation analysis to understand relationships between variables
Introduction to inferential statistics: confidence intervals, hypothesis testing (t-tests, chi-square)
Hands-on labs with sample datasets
Day Three: Data Visualization Principles & Best Practices
Importance of data visualization for cognition and communication
Principles of effective visualization: clarity, simplicity, focus
Selecting appropriate visuals: comparisons, relationships, distributions, compositions
Avoiding pitfalls: misleading scales, clutter, selective data
Building professional visuals in Excel (charts, pivot charts)
Storyboarding data presentations
Day Four: Advanced Visualizations & Interactive Dashboards
Multi-variable charts: combo charts, bubble plots, heatmaps
Introduction to Power BI (optional Tableau overview)
Designing interactive dashboards: slicers, drill-downs, trend lines
Integrating 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, and audience focus
Building compelling narratives with data
Workshop: developing a mini-project using participants’ own datasets
Group presentations with peer and instructor feedback
Developing a personal action plan to implement learned tools and techniques in the workplace
Certificates
On successful completion of this training course, HighPoint Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.