TDWI Data Visualization Fundamentals Training in Sweden

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Data visualization has rapidly become a critical part of business analytics and business communications. Without visualization, the numbers and statistics of analytics are difficult to interpret and incomprehensible to many who need to turn data into knowledge. The advent of big data, with increasing volume and velocity of data, emphasizes visualization as a technique to compress large volumes of data into digestible presentations and observe streaming data in motion.

Elegant and well-designed data visuals often appear to be easy because skilled visual developers are able to hide the complexities and hard work behind the scenes. Business intelligence and business analytics professionals need to communicate as effectively in visual forms as they do with their verbal and written communications skills. Get started by learning the fundamentals of data visualization.

There are no prerequisites for this course.

  • Business analysts and data analysts
  • Data scientists and analytics modelers
  • Business analytics leaders and managers
  • BI leaders and managersAnyone who uses data to develop charts and graphs for communication

  • Visualization as a communication medium
  • Preparing data for visualization
  • Components of visualization
  • Choosing and using charts and graphs
  • Visual exploration and analysis
  • Visual design techniques
  • Extending visualization with infographics
  • Visual storytelling
  • Data visualization tools

Module 1: Data Visualization Concepts and Principles

  • Communication and Visualization
    • Communicating with Words
    • Communicating with Numbers
    • Communicating with Visuals
  • Communication and Data
    • The Purpose of Data
    • The Content of Data
    • Uncertainty in Data
  • Data Visualization Components
    • The Parts of Data Visuals
  • Visual Cues
    • Placement
    • Lines
    • Shapes
    • Color
    • Human Perception
  • Coordinate Systems
    • Cartesian Coordinates
    • Polar Coordinates
    • Geographic Coordinates
  • Measurement Scales
    • Linear and Logarithmic Scales
    • Ratio and Interval Scales
    • Percent Scales
    • Time Scales
  • Visual Context
    • Explicit and Implicit Context

Module 2: Data Visualization Techniques

  • Data Visualization Functions
    • What We Visualize
    • Comparisons
    • Proportions
    • Relationships
    • Patterns
  • Data Visualization Methods
    • How We Visualize
    • Tables
    • Plots
    • Maps
    • Infographics
  • Common Charts and Graphs
    • Line Graphs
    • Column Graphs
    • Bar Graphs
    • Pictographs
    • Pie Charts and Donut Charts
    • Choropleth Maps
    • Scatter Graphs
    • Area Graphs
    • Surface Graphs
    • Bubble Graphs
  • Visualization with Purpose
    • What Do You Want to Show?
    • Comparisons
    • Proportions
    • Relationships
    • Patterns
  • Choosing Charts and Graphs
    • From What to How
    • From Questions to Visuals

Module 3: Visual Design

  • Data Preparation
    • Getting Ready for Data Visualization
  • Design Techniques
    • Design Objectives
    • Object Properties
    • Spatial Properties
    • Visual Hierarchy
    • Pre-Attentive Processing
  • Visual Design Considerations
    • Colors and Fonts
    • Size and Scale
    • Two-Dimensional vs. Three Dimensional
  • Design with Impact
    • Purpose
    • People
    • Encodings and Cues
    • Good Visualizations

Module 4: Applied Data Visualization

  • Visual Data Exploration
  • Profiling Data
    • Data Exploration as a Process
    • Exploring Categorical Data
    • Exploring Time Series Data
    • Exploring Spatial Data
  • Visual Data Analysis
    • From Questions to Answers
  • Visual Reporting
    • Dashboards, Scorecards, and Reports
    • Specialty Graphs
    • Small Multiples
  • Infographics
    • Visual Design plus Graphic Design
    • Simple Graphs vs. Infographics
    • Design
    • Team and Process
  • Data Storytelling
    • Statistics vs. Stories
    • Visual with Narrative

Module 5. Summary and Conclusion

  • Data Visualization Tools
    • A Technology Overview
  • Best Practices in Visualization
    • Advice from the Master

Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Sweden facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
17 borgemánnu 2024
Stockholm, Malmö, Göteborg
1 Day
Classroom / Virtual Classroom
18 borgemánnu 2024
Stockholm, Malmö, Göteborg
1 Day
Classroom / Virtual Classroom
23 borgemánnu 2024
Stockholm, Malmö, Göteborg
1 Day
Classroom / Virtual Classroom
14 čakčamánnu 2024
Stockholm, Malmö, Göteborg
1 Day
Classroom / Virtual Classroom
24 čakčamánnu 2024
Stockholm, Malmö, Göteborg
1 Day
Classroom / Virtual Classroom
02 golggotmánnu 2024
Stockholm, Malmö, Göteborg
1 Day
Classroom / Virtual Classroom
12 golggotmánnu 2024
Stockholm, Malmö, Göteborg
1 Day
Classroom / Virtual Classroom
21 golggotmánnu 2024
Stockholm, Malmö, Göteborg
1 Day
TDWI Data Visualization Fundamentals Training Course in Sweden

Sweden is a Nordic country that borders Norway, Finland and Denmark. The name "Sweden" originated from the "Svear", a people mentioned by the Roman author Tacitus. While being the largest Nordic country, Sweden is the fifth-largest country in Europe. Sweden has a total population of 10.4 million. The capital and largest city is Stockholm. About 15 percent of the country lies within the Arctic Circle, so that's why from May until mid-July, sunlight lasts all day in the north of the Arctic Circle. On the other hand, during December, the capital citt experiences only about 5.5 hours of daylight.

When in Sweden, visiting Stockholm's Old Town Gamla Stan, Sweden's most popular museum Vasa Museum and a UNESCO World Heritage Site; Drottningholm Palace is highly recommended.

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