Course Code: TQM 6500
15 Course Visits
Data Visualization
Course Sector:
Quality Management
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
19 - 23 Oct 2025
5 Days
Online, Virtual
$2,150
Introduction
Training course introducion / brief

Nearly every organisation bases its key decisions on sound data. This data may have been generated from the past reports or may comprise future projections. The data initially collected is just a bunch of numbers and statistics. It bears no meaning to managers until it is converted into suitable information. Data visualization allows the conversion of this information into a pictorial representation which is much easier to understand and read. These visual representations might be in the form of graphs, charts, maps, videos, dashboards, or any type of visual format. This enables rapid identifying of trends and patterns present in the data that would otherwise have been difficult to recognize and understand.

Why is data visualization  important?

The human brain can comprehend a visual data set much easier than rows and rows on a spreadsheet. Since data has become such an integral part of strategic decision-making for any organisation, data visualization  has spiraled to every sphere where data is utilized.

How can Data Visualization be made good? How to position the data, use the color scheme and other techniques to enhance the readability of the data? How to achieve data cleansing for data better visualization ? What are different tools available for data visualization ? Which tool will be suitable for which data set? Data visualization  is not merely the plotting of charts and tables but requires acute preparation beforehand in the form of these questions. Data visualization  is a subtle science and art. It requires comprehension of raw data and apt application of visual tools meticulously enough to draw valuable insights from the dataset.

Training has brought a sought-after Data Visualization  course that elaborates both the science and art part of data visualization . Numerous available tools have been discussed in detail along with their application, pros, and cons. Professionals from all fields experience the vital need of presenting their data in a convenient form to prolifically state their points and derive enhanced understanding from it. This course is mindful of this requirement and therefore discusses important features, techniques, and concepts related to data visualization  in the most beneficial manner.

Course Objectives
At the end of the training course, participants will be able to
  • Enable the development of visual mediums which will help data analysts to interpret the key points promptly
  • Encourage faster decision making through a better understanding of visuals
  • The large dataset may contain valuable information that often goes ignored, however, hidden insight is discovered when the data is visualized
  • Observe data correlation through visual representation between different variables enables the entity to explore opportunities
  • Allow easy recognition of trends and patterns of a large dataset that can prove to be a tedious task
  • Allow faster identification of errors and mistakes
Course Audience
Who is this course for, and can benefit the most
  • Data Analysts
  • Data managers
  • Strategic managers
  • general managers
  • departmental managers
  • Business Analysts
  • Database Administrators
  • Startup founders
  • Entrepreneurs
Course Outline
The course aims and learning outcomes

Module 1: Why data visualization ?

  • Introduction to data visualization and it’s importance
  • Benefits of data visualization
  • Users of data visualization
  • Briefs of data visualization techniques: infographics, graphs, charts, etc.

Module 2: Data Visualization  Process

  • Developing research question
  • Gathering and cleaning data
  • Data mining
  • Selecting visual tools, criteria for selection
  • Making data interactive

Module 3: Use of Mapping

  • Map types: heatmaps, statistical map, point map, line map, interactive map
  • The increasing role of an interactive map
  • Suitable for what kind of data

Module 4: Use of Bar Graphs

  • Functions: drawing comparisons and identifying patterns
  • Creating bar charts
  • Data suitable for bar graphs
  • Types of bar graphs: horizontal, vertical, stacked, and clustered

Module 5: Use of Pie Charts

  • Functions: Cross-sectional visualization , showing the proportion
  • Constructing a pie-chart
  • Data suitable for Pie-charts

Module 6: Use of Histograms

  • Functions: identify the range, patterns, comparison, etc
  • Constructing a histogram: parts, do’s and don’ts
  • Distributions: normal, bimodal, skewed
  • Data suitable for histogram

Module 7: Use of Line Graphs

  • Functions
  • Data suitable for Line Graphs
  • Constructing a Line Graph: quantitative, independent, and dependent variable


Module 8: Use of Scatter Plots

  • Functions: relationships
  • Identifying types of correlation
  • Constructing a scatter plot
  • Line of best fit/ trend line

Module 9: Challenges in Data Visualization

  • Cognitive disadvantages- ambiguity, change blindness
  • Emotional disadvantages- disturbing, visual stress
  • Social disadvantages- cultural differences, framing effects, etc.

Module 10: Current Trends

  • Geo-spatial visualization
  • Using Chart junk
  • Real-time visualization
  • Video visualization
  • Data stories

Module 11: Excel Activity

  • Creating charts and graphs in Excel
  • Styling the tool in Excel
  • Exporting from Excel
  • Excel exercise- creating charts and graphs

 

Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
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Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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