Someone who aspires to become a data analyst can take the traditional path towards becoming a data analyst. Although the notion seems to have changed over the past few years.

Deciphering meaning out of data may take ages when we look at just numbers, but all of this data when converted into a visually appealing format becomes a superpower that accelerates the process of unlocking secrets to consumer satisfaction and eventually business success.

With the increasing reliance of any business on data, there is increasing sophistication if we only consider the volume and variety aspect of it which gives birth to the need for data analytics tools.

Buckle up and read along to know what are the different career paths that you can take in the future to build a long-lasting career in data analytics.

"Most data analysts spend around 80% of their time cleaning data. Why? Because of a simple truth in Machine learning; Better data beats fancier algorithms."

Data analytics is the scientific analysis of data that happens at the back end. It not just gathers data but also deploys various methods that provide deep insights that help predict and reduce cybercrime incidents.