Everything About: Data Visualization and Analytics/Reporting using Tableau & Who Should Attend

Data Visualization and Analytics

Course Duration: 4months – 7months

Data visualization in today’s world can be taken as equivalent to visual communication. It includes the study of visual creation of representation of data. Data visualization uses the techniques like plots, informative graphs and statistical graphics to communicate information efficiently and clearly. Numerical data can be attained using lines or bars, dots and lines to communicate qualitative and quantitative information. It makes complex data easily accessible, usable and understandable. It also helps the users to analyze the data and evidence.

It is much easier for human brain to understand visual information rather than written information. So, use of graphs or charts to maintain complex data makes it easy and fast to process and analyze. Large data visualization tools, with the help of real-time information make evaluation easier for stakeholders and enterprises. It provides you encapsulated complex information on market and operational conditions in a single graphics. So, decision makers can easily understand the interactive element such as fever charts and heat maps. Another benefit of data visualization is that it gives users an eye on connections between overall business performances and operations which is very essential to survive in a competitive environment. The chief benefit of this is it brings changes in a timely manner but unlike static charts, interactive data visualization make users to manipulate and explore the data to uncover other factors also. The variety of data collected on the basis of consumer behaviour can lead to many new options for adaptable companies.

This course is aimed for both who have and do not have any prior knowledge of Data Visualization and Analytics. It is beginner to advanced course to familiarize you with Data Visualization and Analytics .

Who Should Attend

  • Professionals, students , technologists and many other who want to represent their data in very effective manner so it will be easy to understand that data.
  • One who wants to represent the data using plots , informative graphs and statistical graphics to communicate information efficiently and clearly.

Data Visualization and Reporting using Tableau

Course Duration: 4months – 7months

Data Visualization is a creative way of presenting the data that even a non-accounts person can understand it easily. It is the appropriate mix of dimensions, labels, colours, etc which helps the organizations to make important decisions as it shows the astonishing business insights. Tableau is a data visualization tool which is evolving really fast. It is very easy to learn and has a very fast speed of building graphical analysis and dashboards beautifully.

The best part of Tableau is that if you have a large data, it can create visualizations without crashing. A great benefit of it is that if you put the data on its server other people from your team would be able to access it if you want. It is very easy to learn this tool as it has an intuitive interface. If you are well aware of it, you would not have to bother your IT team again and again for help. It can also hook up with many data sources like excel file, text, databases to big data concerns as well. With the help of it, you can show data in many views, apply many filters, create groups, sets and do forecasting. One of its Unique Selling Point is ‘Tableau Dashboard and Stories’, by its help you can take the company’s product to a different level. The best part of using it is that it makes the files easy to understand for the clients. By learning it, you can customize the view with a few clicks vs. multiple menus.


Who Should Attend

  • One willing to work with large amount of data and want represent that data is such a manner that by seeing only at once, one can understand data easily.
  • Professionals , students, graduates , technologists and many others who will be dealing with large data that need appropriate mixing of dimensions , colours ,labels etc with data to make their data more organised and effective.
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