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Surrounded by technologies and the internet, you must have heard that Data Science is the future. There is no doubt that this is the truth we are living and going to live even more firmly in the near future. But before exploring the future of data science, let us know what data science is and why we need it. 

«Data is not units of information. Data is a story about human behavior — about real people's wants, needs, goals and fears. Never let the numbers, platforms, charts and methodologies cloud your vision. Our real job with data is to better understand these very human stories, so we can better serve these people. Every goal of your business is directly tied to your success in understanding and serving people.» this is what Daniel Burstein, the business tycoon, has to say about Data Science. 

This is the main purpose of the data, whether you collect it from statistics, artificial intelligence, mathematics, or by analyzing a large amount of data; the main purpose remains to extricate meaningful insights for business and eventually serve the customers. The more comprehensible you are in understanding the needs and requirements of the customers, considering the data, the more heights the business will reach. 

Data Science has definitely evolved from what it was in the past. Its journey started with simple statistics; these simple statistics models have been used to collect, analyze, and manage data since the 80s. Then came the digital age with computers, and soon, the Internet was introduced, where it faced a flood of data. The introduction of Big Data needed to be managed and processed to conclude the result for decision-making, which gave rise to Data Science. Since then, Data Science has witnessed growth in various sectors. 

Data science helps organizations perform data extraction, visualization, and maintenance through techniques such as Machine Learning and algorithms. The job opportunities in Data Science have seen intense growth. According to the study, there have been 50,000 plus jobs that have been registered for data scientists as of March 2022. However, this is not the end, as it is anticipated that by 2026 the job opportunities in Data Science will be increased by 46%, which clearly shows the value it is going to witness. 

The emergence of Data Science and its importance or value is evolving constantly. As the digital marketing and technologies growing the huge number of data is being collected. Therefore, the roles in Data science collect more recognition and value. Let us look at the roles and job opportunities that will gain more importance, and demand for them will be high. All such posts for the role have been listed below:

• Data Analyst: They basically analyse the data to come up better decision making, efficiency, customer service experiences, and interpret the complex data. If you have interest in mathematical and high analytical skills then this is the best job for you. The salary you can get for this role is around $78184 per year.

• Machine Learning Engineer: They manage some critical work of data science which involves research, designing and building the algorithms or models which can maintain the and improve the existing artificial intelligence systems. The salary you can earn for this role range around $161410 per annum. If you are skilled with experience in the same field then this could be more.

• Data Engineers collect and manage raw data from various sources and convert it into usable information that Data Scientists and Business Analysts interpret. They should be experts in coding so they can easily build data architectures. The salary for this role is approximately $127275 per year. 

• Business Analyst:Evryhing organisation has a goal and the Buisness Analyst help them to achieve this gal by analysing the data and handling the systems to provide solutions and planning for the future plans and actions. The salary range for this Airport is around $84637 per year. 

• Enterprise Architecture: They have the responsibility to design and handle the overall structure of an IT organisation system, process, and applications. They work with individual as well as with the groups to manage the complex information. The salary you can earn as an Enterprise Architect ranges around $209358 per year. 

• Data Science Manager: They should be expert in statistical analysis, data modelling, and machine learning. The focus on managing the storage and organisation of data to develop the data oriented systems so the organisations can easily achieve its goal. The salary you can expect for this role is around $237489 per year. 

• Data Scientists: They use analytical, statistical and programing skills to collect and interpret the large amount of data. They transform the data into the required details that helps them to take the required actions to work towards the business growth. The salary that you can earn from this role is $157892 per year. 

• Distinguished Scientist: They conduct a research on various scientific topics and they have been recognized for their significant contribution to scientific knowledge. They publish amazing and inluential studies depending the research they have conducted. You can get salary around $176101 per year for this job. 

Beyond the shadow of a doubt, it is safe to say that Data Science is definitely emerging as a tool that is going to master the technical, and business world. The career path it provides has never-ending opportunities for a bright future. It will become essential to be skilled with IoT or the Internet of Things, as this is the call from the future. With the help of Data Science it becomes easy to collect, analyse and interpret the data so it can be used for the research and the collected informaiton can be used for problem solving and decision making so it can help in the growth of the business. 

If we look at the study of Bureau of Labour Statistics, it clearly states that Data Scinece is going to achieve the highest employment rate until the year 2032. It is definitely a fundamental part of the business strategy that works in the scientific research to provide the mandatory growth to the different programs and fields in which the business is working. 

There are many roles emerging in this field and gaining extreme importance. There are some skills related to Data Science which you should have such as Data Visualisation, Programming, Mathematics, Coding, Machine Learning, Problem Solving, and you also need to be good at Statistical Analysis. These are the skills that are mandatory for any job you might do in Data Science. Research says these jobs will witness 35% hiring growth rate until 2032 and with this the salary will also witness a growth which eventually make these jobs more valuable and demanding in the field. 

Predicting the Future of Data Science: The United States Data Science Institute has predicted that the value of Data Science and the technology they use, such as Natural Language Processing, Artificial Intelligence, the Internet of Things, and ML Algorithms, are the main tools that help businesses resolve the basics of the date and extract the required information. These are the future of Data Science as these tools going to make its impact even more stronger. As Data Science is constantly evolving, there are some predictions related to the future it is going to witness. Let us look at these predictions closely: 

• In the near future, social media platforms will gain more importance, and the data will be collected from handles such as Twitter, Facebook, and Instagram. The main purpose is to connect with the thought process of the masses, and this will be the best way to get an organized opinion of people on a certain topic. The decision-making from this data will most probably be accurate and eventually help in marketing. 

• There will be some challenges that the Data Analyst may witness when they have to utilise the models and accordingly plan their actions. This will be the main concern in the in the coming age and future of Data Science will look over this to form techniques in order to resolve them. 

• The concepts on which the Data Science are complex and to make the accurate real time decision it will definitely require the help of sociology and psychology fields as they provide the data easily. 

• Cloud Computing plays an essential role in the Data Science process and in the near future it will receive more data, therefore, other tools will be introduced and established for the data processing.

• As the requirement increase Data Science will leave the Conventional Computers and start the use of Quantum ones. They are faster than the conventional computers and helps the data scientists to make the analysis more effective. They will focus and solve the quantum algorithms to solve problems and make the real time decisions. 

• Data Scientists focus was mainly on the statistics and modeling without paying proper attention to coding. Since the technology growing each day and new tools and services are emerging the Data Sceience will develop with supreme skills of coding. 

• The need for Cyber ​​Securitywill be increased in the coming age. As the world is turning into a digital web, it becomes extremely important to save the information and data. And the future will take care of this even more effectively.