Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs and maps ata visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. Additionally, it provides an excellent way for employees or business owners to present data to non-technical audiences without confusion.

In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions.

Something as simple as presenting data in graphic format may seem to have no downsides. But sometimes data can be misrepresented or misinterpreted when placed in the wrong style of data visualization. When choosing to create a data visualization, it’s best to keep both the advantages and disadvantages in mind. 

Our eyes are drawn to colors and patterns. We can quickly identify red from blue, and squares from circles. Our culture is visual, including everything from art and advertisements to TV and movies. Data visualization is another form of visual art that grabs our interest and keeps our eyes on the message. When we see a chart, we quikly see trends and outlires If we can see something, we internalize it quickly. It’s storytelling with a purpose. If you’ve ever stared at a massive spreadsheet of data and couldn’t see a trend, you know how much more effective a visualization can be.

Within the scope of the data visualization training, the participants are informed about data visualization logical approaches and effective solution applications, including in-class onsite and offsite practical practices, based on the following main topics.

Training progresses under the following main headings and topics;

• Journey from raw data to enriched data
• Valuable data definition and scopes
• Visual reporting models basic structure, relationships
• Visual demands and approaches to reading and analyzing data
• List, Report, Graph, Dynamic Dashboard targets and solution addresses
• Approaches to influencing, managing and directing visual perception
• The journey of demand from sentence to visual
• Best solution alternatives addressing techniques for different sample scopes