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Data Visualization Practitioner

4.8 out of 5 stars (based on 14 reviews)

Corporate Training


Online Data Visualization Practitioner Programs

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Benchmark Six Sigma is Accredited training Provider of Exemplar Global (previously RABQSA), a member of ASQ family. Exemplar Global provides global recognition for our Green Belt, Black Belt and Master Black Belt programs




  • Facilitated by Multi-Industry Expert.
  • 16 Hrs of Instructor-Led Online Training.
  • 16 PDUs for PMI credential.
  • Globally Recognized Benchmark Six Sigma Certificate.
  • Membership of largest Business Improvement Community.
  • Course Material Kit for Data Visualization Practitioner.
  • Examples and Exercises for Practice and Analysis.
  • 16 hours of Instructor-Led Online Training.
  • 7 session challenges.
  • Data Visualization Practitioner Assessment Examination.
  • Globally Recognized Certificate with lifetime validity.
  • Any progressive management professional who wants to bring change for the better.
  • Green Belts or Black Belts who want to visualize data and present it well.
  • Data analysts who need to generate insights from data.



Key Takeaways

We started our programs in 2001 and most accreditations started later. We provide Exemplar Global accredited globally valid certificate.
Benchmark Six Sigma has unmatched industry acceptance. We conduct in-company programs with industry leaders. To see more details of our clients, please visit -
We guide participants through cases from different industry sectors which come from real experience in those organizations.
Benchmark Six Sigma has trained 40000+ participants. Here are some photographs over the years -

Q1: What is data visualization (data visualisation)?

Data visualization is the representation of data or information in a graph, chart, or other visual form. It enables decision makers in analyzing large amount of data in a simpler way making complex data more accessible, understandable, and usable.

Q2: Is data visualization a part of data analytics?

A big YES. Data visualization is an integral part of descriptive analytics.

Q3: Is data visualization an important skill for data scientists?

Yes. Many data scientists pay little attention to visualisations and focus more on numerical calculations which at times can be difficult to comprehend and present. When data scientists perform data exploration, data visualization makes it easier to understand insights through visual forms such as graphs and charts.

Q4: Will the course be a step up over excel based data analysis?

It’s definitely an upgrade. Tableau is more intuitive, works very well with geographical data, offers advanced integrations, saves time, etc. It is an indispensable tool in the arsenal of most business intelligence analysts, data analysts, and data scientists.

Q5: Do I need to know any programming languages to enroll of this course?

No. In the data visualization practitioner program Tableau Public software is used to create visualizations. It’s a simple drag and drop tool and doesn’t require any programming background.

Q6: Will the course also cover creation of business intelligence dashboards?

Yes. Business Intelligence dashboards are an essential part of running a data driven decisions. The course also covers interactive dashboards and storylines.

Q7: Which charts are covered in the data visualization practitioner course?

Scatter, Box, Dual Axis, Map, Treemap, Pie, Line, Area, Bar charts, etc.

Q8: Which data visualization tool is covered in the course?

The data visualization course uses “Tableau Public”. Tableau Public is a free platform to build and explore data visualizations online.

Q9: Does Tableau work with major players in big data ecosystem?

Yes. Tableau integrates seamlessly with various Hadoop distributions, NoSQL databases, Spark and other types of tools which help collect, process, cleanse, and analyze big data.

Q10: Among all the data visualization tools available today, which one is the best?

Tableau is often regarded as the grand master of data visualization tools. It has a large customer base due to its simplicity of use and ability to produce interactive visualizations far beyond those provided by general business intelligence tools. One of the reasons for its deserved popularity is integration with large number of advanced database solutions like Amazon AWS, My SQL, SAP, Hadoop and Teradata.

Q11: Will this course be helpful is Exploratory Data Analysis (EDA)?

Yes. The main objective of data exploration is to summarize valuable insights, often in visual forms. This objective is very much fulfilled in this course

Q12: Does the course cover Microsoft Power BI?

No. Tableau and Power BI both are excellent visualization tools. Power BI is the closest competitor for the Tableau. However, Tableau has established itself as the market leader for data analytics and BI tools.

  • Also commonly known as Business Intelligence Dashboarding, Data visualisation provides powerful summarising and graphically representing data. 
  • Learn how to link multiple datasets that can automatically populate graphs and metrics for actionable insights. 
  • Understand advanced visualisation techniques with the help of examples and quizzes. 
  • Build dashboards and learn how to make them practical so that users can answer a wide variety of questions themselves by playing with the graphic interface.


Nicely conducted training and addressed queries by the trainer. Learnt many new things and already started creating viz. Thank You Sir!

April 15, 2022

Saurabh Dhaked, Sr Manager, Business Excellence, ABIS Export

Overall nice sessions!

April 15, 2022

The trainer did a fabulous job in explaining every concept with a lot of patience. He ensured that everyone in the session was able to understand the examples and concepts.

Dharanesh Mysore, Senior Analyst, AstraZeneca India

Good practice examples!

April 15, 2022

The content is good enough that cover various features of the Tools.

Sanchita Roy, Senior Manager, TCS