Analytics gets together theory and practice to highlight and convey data-driven insights that enable to allow the managers, all stakeholders and other relevant resources in the organization to make more profitable decisions. Highly skilled data analysts are well-trained to account for the competitive market and adjust their tactics accordingly. Our qualified teachers will prepare you to have a strong grip on probability theory, statistical modelling, data visualization, computer languages, database languages, software programs, predictive analytics and also risk management in context to the market competition. These skills will prove to be extremely useful in practical life.

Types of Data Analytics:

Data Analytics are of several types bringing value to your organization as follows:

• Descriptive Analytics identifies that what has truly happened earlier such as monthly revenue, sales, web traffic and much more. Such findings will allow the organizations to make important decisions.

• Diagnostics Analytics usually considers that why a trend happened by comparing descriptive data to highlight patterns. This will assist an organization to determine the cause of a positive or negative result.

• Predictive Analytics seeks to highlight expected results by pre-emptly detecting tendencies in diagnostics analysis. This allows the organizations to take measures in advance and avoid any loss while keeping ahead of the game.

• Perspective Analytics will identify what kind of action is to be taken for better results. But, this kind of analysis will present important value in the capability to address potential issues and trends. It mostly requires the utilization of algorithms such as those used in artificial learning or machine learning.