Where there is data, there is bound to be some information that can be extracted from it. Hence we need to analyze this data, and the process of analyzing data for information and patterns is called data analytics.

Everyone has seen stock charts at least once in their lives, even if we are not interested in finance. This stock chart is simply a graph to visualize the stock prices in the past. This is nothing but data being stored and analyzed to obtain patterns and trends.

Seems easy, what is the problem?

Data analytics is not an easy affair. More often than not the data is usually inconsistent. This data needs to be collected, organized, cleaned, summarized and then analyzed. This data is nothing but information which the computers and machines can understand and compute upon. Since boring facts and figures don’t make much sense and tend to be dull and dreary, the analyzed data needs to be represented using visualization techniques such as bar graphs, pie charts, plots, histograms, heat maps, etc. This helps organizations and businesses to gather insights and make better decisions impacting the social and economic aspects of society.

What are the different kinds of analytics?

There are different kinds of analytics. It depends on what kind of questions do we want our data to answer. The different kinds of analytics are descriptive analytics, predictive analytics, diagnostic analytics and prescriptive analytics.

Descriptive analytics deals with the question of what happened. It aims to understand the data from the past and understand as to what are the situations and events arising from it.

Diagnostic analytics deals with the question of why did it happen? It analyzes the data from the past to understand why did the events occur? It seeks patterns in the data to reveal the cause of the events.

Predictive analytics deals with what will happen in the future? It courses on data analytics hoping to find patterns and trends that can predict future events. This will allow organizations to be prepared to maximize future opportunities.

Prescriptive analytics deals with how we can make something happen? In today’s world businesses are trying to perform prescriptive analytics using the data being gathered. This type of analytics wants to create the opportunity it wants and looks to leverage the data in the process.

What is the purpose of data analytics?

The purpose it serves is to impact people and improve their lives for the better, ultimately leading to better social, economic, cultural and environmental progress. People will be able to make informed decisions since they will be more aware of the facts and the certification on data analytics from the past will add to their confidence in decision making. We will know what works and what doesn’t because data does not lie and is not biased. Tracking of events occurring periodically will be an eye opener for many individuals and businesses.

Data analytics, although having found widespread applications is still in its infancy and is yet to mature. The future holds many innovations for data analytics and course for data analytics engineers will continue to be in demand. This should motivate people to learn and explore the field of data analytics.

This is the best time to join this course and take advantage of the skill gap in the IT industry. So don’t waste this golden opportunity and join our course today!

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