Introduction

The real explosion happened with data in the last moments when Harvard Business Review named it the sexist technology of the 21st century. The world witnessed upside down and a lot of revolution in data-driven decision making. With multiple sub-domains, data science is the umbrella that has many processes to do in today’s business operation by reducing human efforts and maximizing profits.

Companies like Facebook, Google, Twitter, Amazon rely a lot on tons and tons of data and find new ways to spread their business territories. Reach customers worldwide, understand their problems, and give them the best services to retain them for a longer time. These companies use machine learning and artificial intelligence models for more precision and accuracy in the data analysis process and better at the decision-making process. 

Evolution of Data Science in Last 10 Years

In the last ten years, the evolution in data science technology is phenomenal; the application of machine learning and artificial intelligence creates new hopes and opportunities to see data in better ways while gearing up the accuracy and data-driven decision making. 

Let’s explore the evolution of data science over the ten years in more detail.

There Is Always A Higher Demand For Data Science Positions In The Market

Over ten years down the line, there is an insignificant rise in data science positions with a percentage of 1500, which is massive compared to the other jobs in the market. It ultimately shows the best job for anyone to kick start their career or someone in the data-driven technology to take their career to the next level.  

As businesses rely on data a lot, they struggle to store the whole amount of data in the repository. Therefore companies look for alternative solutions where the data can be highly accessible, and data analysis will get simplified in the chunks of data. 

And companies need data to make crucial decisions in minimum efforts using advanced machine learning algorithms. There is where the demands for data scientists professionals come into the picture. 

Today, data science is much more advanced than before; statistics and statistical models embed many evolutions in AI and ML fields in various data science concepts. 

Hottest Job Profile of 21st Century According To Harvard Business Review

Ever since the Harvard Business Review named data science as the most desirable job of the 21st century, we have seen enormous growth in the data science realm and technical advancement in various processes in business. 

You would feel surprised to know that in 2010, data science was limited to tech, but today the whole world knows its worth and its impacts to scale any business from nothing to everything. It is becoming a brand in no time with trust and effective ways of solving customer problems and making business happen. 

Data science is a combined skill of programming languages, mathematics, statistics, analytical and logical thinking to extract the golden nuggets under the mountain of data.

Artificial Intelligence Makes an Entry in Realms of Data Science 

2015 was a landmark year for the data science fraternity to add artificial intelligence into the data science domain, as google scaled up with AI-driven software projects. We have already witnessed the world of fiction turning reality over the past decade. With many real-time applications in our daily life like intelligent recommendations, auto-driving vehicles, speech, and image detection that comes in mobile devices, you have it in your pocket. 

But today, the applications of AI in data science are limited to tech and spread across many domains like HR, accounting, banking, healthcare, education, saving time and money while maximizing profits. 

Big Data Helps Smooth Flow of Big Business in Data-Driven Ecosystem

The amount of data we create every day is unmeasurable, but did you even know that it helps businesses understand their customers better? To solve their problem and provide the best solutions to the customers. It is how companies grow, nurture over time. They have a team of data scientists who analyze data, accelerate the business with accurate and precise decision making taking calculated risks. 

As more and more companies realize the impact of data science, they are stepping into it to explore data in various ways. The companies that step sooner into data science witnessed the best growth in the industry with dynamic strategies, robust product development with high precision, better customer targeting. Big data helps in better prediction with forecasting or time series analysis to follow the ongoing trend in the market.  

Cloud Computing Eliminate The Problem of Storing Data

With the number of data increases per day, it’s highly impossible to store them regularly, and analyzing tons of structured and unstructured data; on the other side, it consumes lots of space; choosing the correct patterns is still a big headache for many companies. And there are chances that you may lose all the data once the system gets corrupted.  

Since cloud computing came into existence, most of the problems no more exist to some extent. These problems are like – shortage of storage, keeping data safe, no risk of losing them even if the whole system gets crashed and data is now more accessible from any devices. 

Endpoints

Data science is a great technology and always trending for python, machine learning, and artificial intelligence. The technology was limited to tech a decade back, but today it has enormous applications across multiple domains. And the results are outstanding, driving maximum profits and outcomes with higher accuracy. 

Over the ten years, the transformation in data science is impressive, making it the most demandable and hottest job of the 21st century to get jobs or build a dream career.