Believe it or not- data will rule the 21st century. In today’s data-driven environment, data science plays an indispensable role. Data science is a branch of science that deals with large amounts of data. It uses cutting-edge tools and approaches to unmask concealed patterns, extract valuable insights, and formulate corporate strategies. As a result, data science is seen as a critical element by most businesses and the roles of data scientists, big data engineers, data analysts, data architects, and other related professions are becoming increasingly popular and in demand today.
No matter how many articles you read or how many successful data professionals you meet, some questions are bound to linger in your head while embarking on a career in data science.
Does data science have a future in India?
Is data science really in demand?
Is it worth it to study data science?
And most importantly- Is data science a good career?
Put a stop to these perplexing thoughts. Instead, read this blog to learn how incredible data science is and how promising a career in this field can be.
Why should you learn data science?
Harvard Business Review has labelled data science the “sexiest job of the 21st century.” According to Naukri.com, Data Science ranks first in India’s top ten in-demand jobs. Why has data science become so popular? What makes Data Science so valuable today? It is due to the exponential growth of data and its importance across every industry. Here are 3 reasons for you to consider learning data science-
- Increased demand- Data is the ultimate driving force behind businesses. Almost every industry, such as finance, automobiles, retail, telecom, etc., uses data science. As a result, you can work in any sector you want without fear of a job crunch. Since this is a booming sector, there is an abundance of vacancies.
- Lack of competition- The demand and supply problem is a blessing in disguise. There aren’t enough individuals with the necessary expertise to assist businesses in maximising the value of data. As a result, data scientists are scarce. It is, therefore, easier for you to break into the data industry. Hone your data skills, and you’ll soon land your dream job.
- Well paid career- Data science is a lucrative field to work in. A Data Scientist holds a reputation and enjoys respect and influence within the firm. The organisation uses their expertise to make data-driven judgments and positively steer them.
How valuable is your data science degree?
Before understanding the value of your data science degree, you need to know- how can you pursue data science? A tech enthusiast can learn data science in numerous ways. Almost the majority of them include a conventional college education. The regular bachelor’s degree program is popular, but some students may want to continue their education with a Master’s. In addition, professionals who wish to gain a deeper grasp of their industry or make a career switch will benefit from shorter certification courses. Shorter certification courses from IIT Madras, theknowledgeacademy are a few you can check out if you wish to pursue a course in this field.
Data science was not recognised as a potential career option two decades ago. Mathematicians, software developers, and statisticians all sculpted data differently until then. However, in recent years, data scientists have started incorporating elements from various industries into a coherent, concise, and dynamic subject. You get to learn things like big data, machine learning, algorithms, statistics, various tools and technologies, business intelligence, etc. And in today’s world, these concepts are of great importance; hence data science will have immense value in the job market. However, a degree won’t help until you get practical exposure and put your theoretical knowledge to practice. So, make sure you take up a well-designed course along with projects and internship opportunities.
What is the future of Data Science?
Recent technological breakthroughs have made it feasible to leverage data and its value. Artificial Intelligence, the Internet of Things (IoT), and Deep Learning are just a few cutting-edge technologies covered by data science. Data science’s significance has grown dramatically due to its growth and technical advancements, and now, it has a vast scope that will change our lives in the direction of progress and comfort. Take a look at the future of data science:
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Social media
Data is gathered every time someone signs in to browse the post or view videos. Gender, age, region, language, frequency or duration of content, genres of videos watched, content types, liked or shared content, user behaviour, etc., are all factors to consider. Data sources will remain strong and proliferate with the growing need for detailed customer information.
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Improvement in evolving technologies
We can all see how Artificial Intelligence is gaining popularity worldwide and how organisations are concentrating on it to advance. Big Data’s chances will blossom even more with innovative technologies such as deep learning and neural networking. Machine learning is being incorporated and utilised in nearly everything at the moment. Virtual Reality (VR) and Augmented Reality (AR) are undergoing monumental modifications too. In addition, human and machine interaction and dependency are likely to improve and increase drastically. Furthermore, human-machine contact, as well as reliance, are anticipated to develop and grow significantly.
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Instant data analysis tools
Self-service analytics tools will be available from business intelligence and analytics vendors such as Adobe Analytics, Salesforce, Microsoft Power BI, etc. This will aid in the collection and evaluation of data. NLP and visual data discovery will provide faster access to content. Users will be able to discuss data results such as correlations, exceptions, clusters, linkages, and predictions using this tool.
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Data science in the blockchain- increased security!
Data security will have a strong future in blockchain, as actual transactions will be secured and recorded. If big data succeeds, IoT will fall into line and expand demand. Edge computing will be in charge of coping with and resolving data concerns.
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Advancements in medicine and healthcare
Data science has a wide range of applications in healthcare and medicine. Medical image analysis is a good example where data science and machine learning will be applied to diagnose numerous health problems like tumours, artery stenosis, and various other diseases from images. Doctors will obtain observations and machine learning support for improved patient diagnosis in the near future as more datasets/images become available.
Data science has a strong future ahead with growing applications across diverse fields. Together with other technologies such as machine learning and artificial intelligence, data science will help businesses make more informed decisions at a superior stage. So, put aside all your worries about data science’s future and scope because it will outshine every other field, but the question is- are you prepared to be a part of it by that time?
