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Modern organizations generate large volumes of data, but data alone does not create understanding. The ability to transform numbers into clear insights is now a critical workplace skill for analysts, supervisors, managers, and professionals who need to influence decisions. This program focuses on helping participants communicate meaning through charts, dashboards, and narratives that are easy to interpret and actionable for different audiences.
Participants will learn how to structure a compelling data story, choose the right visuals, apply psychological principles in design, and create professional charts and dashboards using Microsoft Excel and PowerPoint. The workshop emphasizes practical application, clarity of communication, and real-world business presentation techniques rather than simply creating visually appealing charts.
Main Objectives
By the end of the program, participants will be able to:
Differentiate data visualization from data storytelling and explain how insights influence decision-making
Select appropriate chart types based on data structure and communication objectives
Create concise and audience-focused data stories using business datasets
Build and customize charts in Excel for clarity, professionalism, and readability
Apply psychological and design principles to improve interpretation and attention
Integrate Excel visuals into PowerPoint presentations effectively
Develop dashboards that present information logically, ethically, and clearly
Who Should Attend
This program is ideal for:
Data analysts and reporting personnel
Supervisors and managers presenting operational metrics
Finance, sales, HR, and operations professionals
Business professionals working with Excel reports and dashboards
Trainers and consultants presenting data-driven insights
Anyone responsible for communicating findings through charts and reports
Methodology 1: Guided Demonstration and Hands-on WorkshopsParticipants will follow live demonstrations in Excel and PowerPoint while building charts, dashboards, and visual stories using structured datasets and practical exercises.
Methodology 2: Data Storytelling Presentation ActivitiesParticipants will analyze datasets, identify key insights, and present short data stories while receiving feedback on clarity, visual effectiveness, and audience adaptation.
VENUE
Mpower Training Center
222 Vivaldi Residences, EDSA cor Aurora Blvd.., Cubao, Quezon City
Bring own laptop
INCLUSIONS
For onsite:
printed handout
printed certificate
AM snacks
candies and coffee
WIFI access
For via Zoom:
PDF handout
PDF certificate
OUTLINE
I. Introduction to Communicating with Data
Understanding the language of data and how audiences interpret numbers
Stages of data storytelling from raw data to insight and action
Differentiating data visualization from data storytelling
II. Data and Charting Concepts
Data types: categorical vs. numerical
Matching charts to purpose: comparison, trends, distribution, relationships
Choosing metrics: percentages vs. raw values
Tables vs. charts vs. pie charts
III. Preparing to Tell Your Data Story
Creating a focused 3-minute data story
Identifying the single main idea your data needs to communicate
Adapting the story for different audiences (clients, managers, colleagues)
IV. Creating and Customizing Charts in Excel
Creating basic charts from structured data
Modifying formats for clarity and professionalism
Editing key elements: labels, data series, gridlines, legends, data tables
Adding titles and annotations for context
IV. Special Charts and When to Use Them (Curated Selection)
Line and Scatter charts for trends and correlations
Pie, Tree Map, and Sunburst for composition
Waterfall and Area charts for change over time
Histograms for distribution
Map charts for geographic data
Sparklines for compact trend visualization
V. Applying Psychological Principles in Data Storytelling
Applying Tufte’s data-ink ratio to remove clutter and noise
Using Gestalt principles to control visual perception:
Good order and symmetry
Similarity and continuation
Proximity and closure
Applying pre-attentive attributes to guide attention
Using light–dark shading effectively
Applying size, contrast, and orientation to emphasize meaning
Effective color usage for readability
VI. Presenting and Linking Charts to PowerPoint
Linking charts from Excel
Embedding vs. linking
Using Paste Special to preserve format and data
VII. Applying Context to Visuals
Adding clarity through legends, chart titles, and axis labels
Using annotations to highlight insights
Adding subtitles and short explanatory texts to support interpretation
VIII. Preparing Your Dashboard
Structuring and laying out dashboard components
Adding objectives, story stream, and indicators of dashboard certainty
Data Visualization Ethics
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Event venue
Mpower Learning, EDSA 1207, 1109 Quezon City, Philippines, Quezon City
Tickets
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