data-visualize

Advanced Data Visualization

Discover how to visualize time, proportions, relationships, and spatial patterns with the right tools and design.

Practice in 3 Laboratorios prácticos — nothing to install
12 Lecciones interactivas y 47 topics mapped to the official exam objectives

Expert A tu propio ritmo · 1 año de acceso 4.7/5 (25 Revisar)

3 LiveLabs prácticos

Practice real IT tasks in guided environments.

Entornos reales
Calificación automática
Sin instalación

12Lecciones interactivas

47Topics

3Laboratorio en vivo

4Vídeos

01 / Habilidades que obtendrás

What you will be able to do

Try Free → No se requiere tarjeta de crédito

In a world flooded with dashboards, charts, and spreadsheets, the ability to tell clear, impactful stories with data has never been more critical.

In this Advanced Data Visualization course, take a deep dive into techniques such as dual-axis charts for revealing hidden correlations, multi-chart dashboards for holistic views, and complex network graphs to map out your intricate relationships.

You’ll explore how to choose the right tools and techniques for every story. So your audience can see what matters most, avoid misinterpretation, and engage meaningfully with your work.

Geospatial Mapping: Master the creation of choropleth maps, heatmaps & not destiny maps to visualize your geographical distributions & patterns.
Statistical Visualization: Explore advanced statistical plots, including scatter plot matrices, box-and-whisker plots, and violin plots, to understand data distribution and relationships.
Data Presentation: Create compelling executive dashboards that distill complex information into clear, & concise insights.
Data Storytelling: Craft compelling visual narratives that highlight trends, patterns, and key insights.
Data Cleaning and Preparation: Scrap, format, and prepare data to design & implement actionable business reports.

Course Highlights

12 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
3 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos

02 / Lecciones y laboratorios

See exactly what you will learn and practice

Descargar esquema (PDF)

Plan de estudios

12 Lecciones interactivas · 47 topics

01 Getting Started

02 Telling Stories with Data 6 topics

1.0 Competency One and Objectives
Video: The Art of Data Visualization
More Than Numbers
What to Look For
Design
Wrapping Up

03 Handling Data 4 topics · 3 Laboratorio en vivo

2.0 Competency Two and Objectives
Gather Data
Formatting Data
Wrapping Up

3 Laboratorio en vivo in this lesson — see the labs panel →

04 Choosing Tools to Visualize Data 6 topics

Out-of-the-Box Visualization
Programming
Illustration
Mapping
Survey Your Options
Wrapping Up

05 Visualizing Patterns over Time 5 topics

4.0 Competency Three and Objectives
What to Look for over Time
Discrete Points in Time
Continuous Data
Wrapping Up

06 Visualizing Proportions 4 topics

What to Look for in Proportions
Parts of a Whole
Proportions over Time
Wrapping Up

07 Visualizing Relationships 6 topics

6.0 Competency Four and Objectives
What Relationships to Look For
Correlation
Distribution
Comparison
Wrapping Up

08 Spotting Differences 5 topics

What to Look For
Comparing across Multiple Variables
Reducing Dimensions
Searching for Outliers
Wrapping Up

09 Visualizing Spatial Relationships 5 topics

What to Look For
Specific Locations
Regions
Over Space and Time
Wrapping Up

10 Designing with a Purpose 6 topics

9.0 Competency Five and Objectives
Prepare Yourself
Prepare Your Readers
Visual Cues
Good Visualization
Wrapping Up

11 Appendix

12 Tutorials

Laboratorios prácticos Our edge

3 Laboratorio en vivos

Scrape, format and present your data
Clean and Format Data using Excel
Changing Formats using Python

Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.

03 / Preguntas frecuentes

Preguntas antes de empezar

Contáctanos ↗

Who should take this course?

An advanced data visualization course is suitable for analysts, researchers, educators, data professionals, and anyone who wants to communicate data clearly and effectively.

What is Advanced Data Visualization?

Advanced data visualization refers to the use of sophisticated techniques and tools to simply represent complex data in an easy-to-understand visual format. It goes beyond the basic charts and graphs by helping users quickly grasp trends, patterns, and relationships within data. Ultimately, it leads to better decision-making.

What are the career benefits of this advanced data visualization course?

The data advanced visualization online course can offer multiple career benefits, including career advancements, increased earning potential & new job opportunities.

Is R or Python better for visualization?

Both are powerful:

R excels in statistical plots and quick visualizations with libraries like ggplot2.
Python offers greater flexibility and integration with tools like Matplotlib, Seaborn, and Plotly.

Which visualization tool is in demand?

Tableau remains one of the most in-demand tools in the industry, followed closely by Power BI for business analytics and Python libraries like Plotly and Seaborn in data science roles.

Master Advanced Data Visualization

Get real-world experience and insights to accelerate your journey to become a data visualization master.

1 año de acceso completo
3 LiveLab incluido
Certificado de finalización

Comprar ahora — $47.00 Try Free

No se requiere tarjeta de crédito