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Is Data Science Really a Rising Career?

Data Science is now not new to everyone as it is considered one of the most indemand careers in the IT
market. An amazing fact of data science nowadays is that an airline (Southwest Airlines) was able to save
USD100 million just by leveraging data. With this drastic example, we can understand how important data is becoming day by day. It involves domain expertise from mathematics, programming, and statistics to find useful insights and make sense of gathered data. It is revolutionizing almost every industrial sector and gaining popularity rapidly.

Data science is also known as one of the most soughtafter careers and popular emerging domains ranking with whopping 37% hiring growth over the past three years. It enables large companies to effectively
understand gigantic data from multiple sources and provide valuable insights/trends to make smarter
datadriven decisions. We can witness the importance of data science in the business field also as it
enables enterprises to measure, record, and track performance metrics to offer enhanced decision
making.

So it is clear that data science is a highdemand career, and people who want to start a career in this domain are searching for good certification courses. Data science courses in Karachi and many other locations are available to help professionals start a dynamic career as data scientists. This article will throw
light on some factors that can answer the question ’Is data science really a rising career?’

What is Data Science?

Data Science is a vast and interdisciplinary field that involves scientific processes, methods, systems, and algorithms to extract insights and knowledge from datasets (structured and unstructured). This dynamic domain is related to machine learning, data mining, and big data that apply knowledge to find actionable insights from data across a broad range of application domains. Data science is the combination of statistics, informatics, specialized programming, maths, advanced data analysis, AI, and their related methods. It helps to uncover and explain the business insights buried in data.

Data Science encompasses preparing data for processing and analysis and presents the result to get patterns and enable stakeholders to draw informed conclusions. Data Science includes a wide range of tools and techniques for evaluating and preparing data, such as SQL, data mining, and data integration methods. It also helps in writing code and applications that automate data processing and calculations.
Data science is crucial as it conveys the meaning of results to decisionmakers, managers, and stakeholders at every level of technical understanding and knowledge. It can also explain how these results can be used to solve business issues. A data scientist looks at the data from several angles, which
one would ignore normally.

So, data science aims to make predictions and decisions by making use of predictive casual analytics,
prescriptive analytics, and machine learning. Data science is useful in several domains such as marketing,

social media, automation, travel, healthcare, sales, credit, insurance, etc., and can firmly create its impression.

Data Science a Rising Career

We are living in an era of big data, so the need for its storage is also growing. Data science has critical and specialized applications across most industries. Almost all big and small size companies/organizations
need data science to make smarter decisions, analyze market trends, reduce costs, minimize losses and
maximize profits.

Data scientist was the number one job in America from 2016 to 2019, according to Glassdoor’s annual
ranking, which earlier belonged to Front End Engineer, followed by Java Developer.

It is assumed that the 21st century will be ruled by data as data science has become an indispensable part
of many industries and businesses. Data science can provide meaningful insights into customer behavior
that can lead to increased sales and conversation, detailed market analysis to get benefits in pricing
strategies, product development, improved operational efficiency, and minimize risk exposure via
accurate forecasting models.

Over the years, several job opportunities and salaries in data science boomed across the world a trend that COVID19 pandemicdriven digital transformations have further accelerated. So there is an increasing demand for data science professionals in the IT world. If we talk about India only, it is predicted that the
the country will have more than 11 million job openings by the year 2026.

The emergence of highly advanced technologies like Digital Media Platforms, IoT, Artificial Intelligence,
Smartphones, Blockchain, Big Data Analytics, and quantum computing have introduced an era where data science will be central to organizational success. It not only radically transforms businesses but also helps target a new market, boost revenue, address a customer pain point, cut down the cost, helps make data
driven decisions, and many more. Therefore every company is taking an interest to hire data scientists and focusing on capturing, interpreting, and being informed by data.

Data science is a buzzing word in the IT sector, promising high pay and great job opportunities and growth.
With 650% growth in jobs since 2012, the data science industry is on the rise, leading many people to
wonder, “Is data science a good career choice?” On the other side, Glassdoor addressed data science as the third most desired career in the USA, with an average salary of $108,000 per year. According to the
Bureau of Labour Statistics, the median salary for all US workers stands at $49,800, meaning data science salaries are over double the national average. LinkedIn also ranked Data Science as the topmost promising job in the US and marked a 56% increase in job openings.

Despite the COVID19 pandemic, there is no slow down in data science job opportunities as almost 50%
of data science and analytics, organizations have suffered no impacts or have actually grown in size during
the pandemic.

So, yes we can say that a data science career is still a rising career option that promises jobs and growth in your career graph. The demand for data science links back to more companies along with IoT, Big Data,
and Cybersecurity efforts. Many big and small size companies are also expanding their data analytics capabilities. Now is the right time to choose a career in this everrising data science world.

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