Trend Spotting and Pattern Spotting: Seeing What Matters in Data Visualizations Training in Canada

  • 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 is an important part of analytics. Analytics effectiveness and impact depends on visualization skills of two kinds – ability to create visuals and ability to understand visuals. The real value of visualization does not come from creating visuals, but from understanding what they can tell you. With the language of words we learn reading and writing as separate but related skills. Similarly, with visual language we need to learn understanding (reading) and creating (writing) as distinct but related skills. There are many books, courses, and other resources that teach people how to develop data visualizations but few that teach how to read and understand them. This course aims to fill that gap by teaching the core capabilities of understanding and interpreting data visualizations.

There are no prerequisites for this course.

  • Business managers, decision makers, analysts and other analytics consumers seeking to refine their skills for understanding data visualizations
  • Data scientists, data analysts, and other analytics providers seeking to enhance their data visualization skills by understanding visualization from the perspective of the readers
  • Developers of data visualizations who will improve visualization skills by seeing data visualization through the eyes of the readers

  • Ten key concepts of data visualization
  • The most important things to look for when reading visualizations
  • How to do a “quick read” of data visualizations
  • How to do a “critical read” of data visualizations
  • To see trends, patterns, and outliers in visual presentation of data
  • To see ambiguity, distortion, and bias in visual presentation of data

Part 1: Visual Language

  • About Language
    • Word Languages
    • Numeric Languages
    • Visual Languages
  • Visual Language
    • Parts, Structure, and Rules
    • Visual Communication
    • Data Visualization Language
    • Interactive Visualization

Part 2: Data Visualization Concepts

  • Chart and Graph Formats
    • Static
    • Interactive
    • Animated
    • Narrated (Storytelling)
  • Chart and Graph Types
    • Basic Types: Line, Column, Bar, Area, Scatter, Bubble, Map, etc.
    • Beyond Basics: Tree Maps, Heat Maps, Sunbursts, Clouds, etc.
  • Patterns and Trends
    • Pattern Basics: Center, Spread, Peaks, Mode, Skew, etc.
    • Patterns, Trends, and Chart Types
  • Data
    • Data Sets
    • Things, Instances, and Variables
    • Data Sources and Lineage
  • Visual Composition
    • Axes and Scales
    • Legends

Part 3: Quick Reading of Data Visualizations

  • Finding Context
    • First Impression
    • Title
    • Axes
    • Scales
    • Legend
  • Looking at the Data
    • Variables and Quantities
    • Meaning
    • Quick Read Process
    • Process Summary
    • Quick Read Exercises

Part 4: Critical Reading of Data Visualizations

  • First Glance
    • From a Distance
    • Organization
    • Visual Appeal
  • Source of the Chart
    • Data Sources
    • Data Analyst
    • Data Analysis
  • You and the Chart
    • Format and Interaction
    • Connections
  • Reading the Chart
    • Title
    • Type
    • Layout: Aspect Ratio, Legend, Colors, Patterns, Annotation, etc.
    • Data: Variables, Encodings, Relationships, etc.
    • Axes and Scales: Variables, Coordinates, Units, Intervals, etc.
    • Considering Outliers
  • Finding the Meaning
    • Considering Outliers
    • Finding Patterns and Trends
    • Critical Read Exercises


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

Upcoming Trainings

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

Classroom / Virtual Classroom
26 November 2024
Toronto, Montreal, Calgary
1 Day
Classroom / Virtual Classroom
03 January 2025
Toronto, Montreal, Calgary
1 Day
Classroom / Virtual Classroom
26 November 2024
Toronto, Montreal, Calgary
1 Day
Classroom / Virtual Classroom
12 January 2025
Toronto, Montreal, Calgary
1 Day
Classroom / Virtual Classroom
12 January 2025
Toronto, Montreal, Calgary
1 Day
Classroom / Virtual Classroom
03 January 2025
Toronto, Montreal, Calgary
1 Day
Classroom / Virtual Classroom
02 February 2025
Toronto, Montreal, Calgary
1 Day
Classroom / Virtual Classroom
12 January 2025
Toronto, Montreal, Calgary
1 Day
Trend Spotting and Pattern Spotting: Seeing What Matters in Data Visualizations Training Course in Canada

Canada is a North American country. Known as the second-largest country of the world, Canada’s capital city is Ottawa. Toronto, Vancouver and Montreal are the biggest and most popular cities of this country. The 8,891-kilometer southern and western border between Canada and the United States is the world's longest intergovernmental land border. This country also has the longest coastline in the world.

Canada is a constitutional monarchy. The country was originally a British Empire colony and is now a part of the British Commonwealth. Both French and English are Canada’s official languages. Canada’s national animal is a beaver and the its flag design is a vertical triband of red and white with a red maple leaf charged in the centre. Some of the top-rated tourist attractions in Canada are Niagara Falls, Banff National Park and Rocky Mountains, CN Tower in Toronto City, Bay of Fundy, Old Quebec (Vieux-Quebec in French), the ski resort of Whistler, Ottawa's Parliament Hill and Vancouver Island.

Choose from our extensive selection of IT courses, covering programming, data analytics, software development, business skills, cloud computing, cybersecurity, project management. Our highly skilled instructors will deliver hands-on training and valuable insights at a location of your choice within Canada.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.