. According to studies, more than 2.5 Quintillion bytes of data are produced every day, and in the not too distant future, 1.7 Mb of data will be produced every second. In order to turn these massive amounts of data into insightful knowledge, data scientists are crucial in this process. Data science is a dominant approach today and will continue to be so in the future. In order to face the challenges of data analytics and support the delivery of innovation in products, services, and society, there is a demand for trained labor across industries.

Career in Data science

As more companies throughout the world start receiving both structured and unstructured data, many of them are now looking for data scientists. The demand for data scientists is increasing as businesses become aware of the necessity to handle this data in order to offer their clients better services.

According to studies, India would have a shortage of data scientists until 2022 because they must evaluate vast amounts of data in order to make judgments and forecasts. They therefore need expertise in statistics, mathematics, data visualization, machine learning, and coding for all of these purposes. According to an IBM survey, there will be a rise in the number of job openings for data scientists from 364,000 to 2,720,000 by the year 2022. 

1. Programming

A candidate can clean, assemble, and arrange an unstructured amount of data with the aid of a programming language. Additionally, it can help manipulate the data and use particular algorithms to generate some insightful conclusions. Programming for Data Science varies from other programming languages in that it enables users to pre-process, evaluate, and draw conclusions from the data. One of the most popular languages among data scientists is Python, followed by R.

2. Machine Learning

A business can increase its chances of seeing lucrative opportunities and avoiding unexpected risks by using precise machine learning models. As a result, developing this model requires specialized expertise that can be acquired through a degree or course in data science. If you work for a big organization with plenty of data or at a company where the product is particularly data-driven, you should become familiar with machine learning techniques. Check out top machine learning courses in Chennai to develop your ML skills. 

3. Statistics

As a data scientist, having solid statistical knowledge is crucial. It is a study of the collection, examination, arrangement, and display of data. This applies to machine learning as well, but one of the most important components of your statistics expertise will be knowing when various strategies are or aren't a good strategy. Statistics are essential for all kinds of businesses. A data analyst needs to have a thorough understanding of probability theory and descriptive statistics, which can be acquired through specialized training.

Data Science is the Future!

Undoubtedly, pursuing a career in data science is financially rewarding. As the use of data-driven methods continues to spread, this will rise in popularity in the coming years. The most important and difficult business difficulties would be manageable for the upcoming data scientists. They will be able to do this because they will be familiar with the proper tools and methods needed to affect change inside an organization. If you’re a data scientist enthusiast, enroll in a data science course in Chennai. Develop experiential learning with 15+ real time projects  and secure a lucrative data science career!