TDWI Data Visualization Fundamentals Training in Germany

  • 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 Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
23 Mai 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
26 Mai 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
06 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
15 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
20 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
20 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
21 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
18 August 2024
Berlin, Hamburg, Münih
1 Day
TDWI Data Visualization Fundamentals Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.
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