Why is a Data Science course the hot career for students?

The world is revamping according to contemporary trends and one such significant trend in today’s world is Data Science.  It is one of the prominent career options for today’s youth. Data is controlling the world in which we live and is also dubbed as the “oil” of the 21st century. The past few decades have observed a sharp and continuing rise in data. With the increasing growth of social media, smartphones, and the Internet of Things, the amount of data available to us is off the chart.

From big multinational companies to start-ups, everyone needs a Data Scientist for proper use. Hence, it makes a Data Science course, one of the hot careers of present and future scenarios. Most people are unaware of what Data Science is and find the career baffling. This article will decipher the mysteries and common queries such as “Is Data Science Tough?” or “How is a Data Science course as a career option?”

The emergence of Data Science 

The word “Data science” was first invented in 2008 when industries comprehended the requirement for data consultants who have experience in analyzing and organising a huge proportion of data.

In layman terms, Data Science is an integration of mathematics, programming, statistics, data analysis, and machine learning. It uses advanced algorithms and scientific methods to obtain information and insights from large datasets-both structured and unstructured.

Who is a Data Scientist? 

Data Scientists are the experts who possess the potential to recognise related questions, extracting information from data sources and transforming outcomes into solutions. Dubbed as the “sexiest job of the 21st century” by Harvard Business Review, Data Science has become a buzzword in the modern era.

• Data Scientists are expert professionals who can facilitate big data through coding and algorithms and convert it into a problem-solving solution for the business. They hold good expertise and skills in computer science, statistics, mathematics, modelling, analytics blended with a powerful business sense.

The range of Data Science is growing year by year. The year 2008-2020 has seen a sudden transition and people across the globe have adopted digitalisation.  The huge growth of data can help us to determine the future scope of Data Science as a career in India.

Medical Sector 

There is a huge demand for data scientists in the healthcare sector because the sector creates a lot of data on the daily basis. Getting to grips with the massive amount of data is not possible without a professional candidate.

Hospitals need to maintain a track record of patients’ medical history, bills, staff personal history, and much other information. Data Scientists are increasing in hospitals to boost the quality and safety of data. They help physicians with comprehensive information on patients’ well-being and provide much more actionable data.

Banking and Finance 

The Banking and Finance Industry is often overlooked in terms of technology. However, times are changing as banks are integrating technology to boost their decision-making. To exemplify, Bank of America uses a virtual assistant called Erica to assist customers with information on upcoming bills or view transaction histories.

Transport Sector

The transport sector is significant as everyone wants to arrive at their destination on time. Data Science and Analytics is advantageous in the transportation industry, both public and private, to augment the chances of successful journeys. For instance, the transport system in London makes use of statistical data to outline customer journeys, handle unforeseeable circumstances, and provide people with personalized transport details.

Education 

Data Science overcomes the biggest challenge of the education industry. It helps to encompass data from different vendors and sources and use them on platforms not developed for varying data. 

The University of Tasmania has over 26,000 students and has developed a seamless learning management system that can track when a student logs into the system, the overall development of the student, and how much time is used on individual pages?.

Big Data makes it convenient to examine teachers’ effectiveness by scrutinising subject matter, student numbers, aspirations, demographics, and many other factors.

Retail 

The retail industry is standing on one thing - understanding what their customer wants and providing them with those things. And if you don’t understand, you won’t be able to survive in the cut-throat competition. There comes Data Science for the rescue. Big Data and analytics provide retailers with deep insights on how to keep their customers happy. It helps to create specific and relevant shopping experiences that make their customers highly satisfied and aids expeditious purchase decision-making.

Skills to acquire 

It is essential to learn the skills related to Data Science. Recruiters are actively looking for candidates who are experienced in dealing with real-life problems regarding data analysis.

Degree with relevant experience and a skill-set matters the most. Freshers have also a great chance of getting hired at a good package who possess the adroitness. Some universities and colleges provide specialised Data Science courses for the candidates who are fanatical about them. The Bachelors and Masters programme in Data Science at Chandigarh University (CU) in North India acquaints students with the skills for data analysis. The program is specially designed with a global curriculum to prepare for the changing needs and demands of the industry. The specialised Data Science course opens doors to versatile positions like Data Scientist, Data Analyst, Data Engineer, Marketing Analyst, and many more. Students can avail themselves of unique scholarship options by appearing for an entrance exam CUCET. Chandigarh University Common Entrance Test opens pathways to a successful career. 100% scholarships are available up to Rs 33 crores for meritorious students.

Here are five mandatory skills for a Data Scientist:

• Cloud Computing
• Sound knowledge of Microsoft Excel
• DevOps
• Wrangling of Data
• Linear Algebra and Calculus

Data Science is a great career in India as the country has become the second-biggest hub for Data Science. Analysts have predicted that by 2026, there will be around 11 million job openings.

The minimum investments on study can help bring the best Return on Investment. A fresher can earn up to 5,00,000 LPA and an experienced Data Scientist can get anything between 6,00,000 -17,00,000 LPA. One just needs to make a wise choice among different and multiple courses on Data Science and Machine Learning.

Note: The views expressed in this article are that of the institute and do not reflect/represent those of Shiksha