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Introduction to Data Visualization
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A Short Introduction to Data Visualization

Education & Training

Representation of data is extremely important as clients and stakeholders are often not able to understand technical jargon and data in tabular form. Visual representation is integral in understanding data and thereby using it to make informed decisions. The science behind data analytics has progressed enormously in the last few years and it has now become ubiquitous in the functioning of every company ranging from top MNCs to even small organizations.

Along with data analytics, another field that has progressed is data visualization. It is used not only with data analytics programs but also with business intelligence and business analytics tools. Most of these tools have basic features of data visualization in them.

Some of the top data visualization tools that are available in the market are:

  • Tableau
  • QlikView
  • Plotly
  • FusionCharts

Traditional data analysis tools like R and MS Excel can be used along with these software or the pre-installed data visualization features available in them can also be used for the proper representation of the important data and statistics.

Different data visualisation tools

Let us learn about the data visualisation features of some of these tools.

  1. Tableau- the name that pops into our head, when we think of data visualisation. Tableau is a BI software that allows users to represent their data more clearly by creating smart dashboards. It is used to work on big data and can be updated instantaneously and the dashboards can be published in just matters of a second. There are limitless options in visual analytics and is one of the most coveted skills. When opting for data visualisation training course, remember to learn Tableau.

it has gained such importance because of its various advanced features and also that it can be incorporated with any data source.

  1. R– it is an important data analysis tool, and it offers some visualisation features like- base graphics, grid graphics, lattice graphics and ggplot2. It allows for easy understanding for the end users. It can be implemented much easily and used by anyone with understanding of R. There is no need to learn an additional visualisation tool.
  2. MS Excel- this tool from Microsoft provides one of the most advanced features in graphs across all platforms. Graphs are amongst the fundamental methods for visually conveying information derived from the analysis of data.

Career in data visualisation

Data visualisation is a field that is extremely lucrative and there are vast opportunities for professionals who have data visualisation training. You can choose three different career paths that of data visualisation engineer, business intelligence analyst and data analysts. With such a high paying jobs and lucrative career prospects, it would a very intelligent step to get a data visualisation training.