Things to Know if you Want to Pursue a Career in Data Analytics

What is Data Analytics?

Data Analytics is the science of converting raw data into meaningful information. The techniques used in Data Analytics to read raw data can unveil trends and patterns which would otherwise be difficult to decipher from the massive amount of data that is generated. The information gained can be further utilised to make decisions or solve problems which leads to the increase the overall productivity of the business.

Many techniques and processes used in Data Analytics have been automated into mechanical processes or algorithms that help convert the raw data into a readable format easy for human consumption.

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Where can it be applied?

Data analytics techniques can to applied to all kinds of information or data to get an insight to may enhance the efficiency of the business.

Most industries deal with a huge quantity of consumer or system-related data that needs to be decoded for human consumption.

It can do much more than point out bottlenecks in the system. Organisations such as gaming companies use it to keep track of active users and reward them for keeping other users online. Content companies like OTTs, Ecommerce etc use various techniques of data analytics to keep users clicking, watching, or re-organizing content to get clicks and views.

There are 4 main steps involved in the process of Data analytics;

• Clustering: Data requirements are first identified and then classified into clusters based on their cohesiveness. For eg: Demographic data can be separated by age, gender, income etc
• Collection: The data is then collected using the classification of data as a base. This information can be collected via online forms, cameras, on-ground surveys etc
• Organization: The collected data is then organised to make it fit for analysis. It can be organised in a spreadsheet of any automated software that can process statistical data
• Cleaning: The data is then scrubbed for errors and duplication. Irrelevant or incomplete data is erased

All these steps should be followed before the information goes to the analyst to be scrutinised.

Why is Data Analytics important?

• Helps in identifying trends and patterns which is otherwise impossible for humans to do if the data is humungous
• Aids the managers in making better decisions to improve the performance of the business
• Helps in identifying problems and bottlenecks that might hamper the growth of the organisation

Applying it into the business model can help companies in reducing costs by identifying efficient ways of doing business and by storing large amounts of information.

Pursuing Data Analytics courses in Mumbai

Data Analytics is thus becoming a very popular vocation and students are considering it as career options. Data Analytics courses in Mumbai are some of the best programmes available for aspiring students. Students can have a very promising career in this field.