A career in data visualization

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  • Published date: May 2, 2018
    • Noida, Noida, Uttar Pradesh, India [ Ads Views - 7 ]
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Data visualization is actually the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns. Many data visualization jobs are available in India if you are planning to make a career in it.

Some of the skills you must know to have a career in data visualization:

  1. Theoretical information visualization: It is the science behind visualization and its establishment. In fact, it's considerably a smart idea to know some of it, despite the fact that you never truly need to know the state of the art outside of academia. Data presentation guideline is one subset of theory, as showed by the books of Edward Tufte or Stephen Few, which are significantly useful to know for example when assembling dashboards or reports. Similarly, it is important to note that a strong hold of math and geometry is also very helpful regardless of whether used directly. Jobs in Noida and Jobs in Gurgaon are available in tableau data visualization field.
  1. Coding: Presently, a large portion of visualization work is done on the web. Therefore, making java script the language of choice. While some of this is shifting to the mobile devices, the visualization work is not meant for the web- a great deal of artistic project is finished with Processing, and a few data intensive visualizations are made as independent desktop applications (for example in C++). For visualization on the web, beyond java script, the most well-known library utilized is d3js. The level of capability you require at coding truly depends on the context. For ventures with static data which are small scale and independent, basic aptitudes are adequate, however to work on more perplexing tools, it truly takes designing evaluation skills and expertise.
  1. Analyzing Data: The key skill of data analysis is SQL and it has the capability to obtain and manipulate data. How does this tie back with visualization? The analysts who are skilled use the tools like R/ggplot2, python/matplotlib to express their findings visually. Most of the analytic work, includes exploration and is also performed in BI tools such as Tableau, or the spreadsheet software like excel or google sheets.
  1. Designing Data: Data design is the origination of screens and interfaces that feature data. This is basically configuration work, which happens to feature data- which means having the information about product design, UI/UX, research is very essential than having knowledge about visualization. The tools that are used to design data are Photoshop or Illustrator, and progressively Sketch. Data design likewise incorporates prototyping which requires particular tools and coding.
  1. Data storytelling: This includes various techniques and tools which are essential to bring a narrative to the audience through data and is of huge significance when it comes to data journalism and advocacy work.
  1. Data Art: if we take art into account, visualization tools and techniques are used to encode data, not just to answer an analytical question or persuade the audience but with the aesthetic focus. Data visualization unravels the fascinating world of generative art.

The author is a working professional at EXL Services

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