In 2020, each person produced 1.7 megabytes of data in a single second. Every day, Internet users generate approximately 2.5 quintillion bytes of data.Data is being used to drive massive change in a variety of industries, including healthcare, finance, marketing, and business.

Obtaining a Data Science Training is vital for upskilling and staying current in the workplace.

I work in marketing and deal with millions of data points that are generated every day. These data points are used to study customer behaviour and devise various targeting strategies.

There is room for you in the industry as long as you can deal with massive amounts of data and solve problems with it.

However, you must go beyond model construction. You must have domain knowledge. You must be able to source external data using your technical skills. You must have excellent communication and problem-solving abilities.

These are the abilities that will distinguish you from the average data science aspirant.

Data science in practise is not the same as data science in theory.

It makes no difference in the industry if you work an entire day to improve your model's accuracy by 1%. These factors may be significant in a Kaggle competition, but they don’t matter to stakeholders.

Companies must hire people who can extract value from these data points.

A business analyst alone would not be able to do this because they lack technical knowledge.