Technology is the key behind the revolution of the world, with the introduction of the internet in human lives, it has eased up learning and has accelerated the growth of the economy. In recent times, data is the best friend of the human world. With the revolution of technology tremendously, data usage increased too, and thus the demand for data management in today’s time has progressed.
Let us talk about the future scope of data science. Data Science is one of the most hyped and recent technologies across the globe. It is widening its areas of applications in several organizations from top MNCs to start-ups.
Data Science is the connecting bridge to the world of automation. In simple words, Data Science is defined as a comprehensive study of all the data collected by organizations for their operational purposes, which often involves the analysis of gliding data over the Internet through various data analysis tools, to mining and interpreting data. Thus, seeing the rise in trend demand for data scientists has emerged as the best job in the future with a very bright scope in career.
A career in a Master in data science is not just limited to technical knowledge but rather comprehensive. You will have to work on different teams with other engineers, developers, coders, analysts, and business managers. To get started the very basic is to have some certifications or required set of skills to become a data scientist. There are several online masters in data science courses available too subsequently earning a degree or certificate can be a great start.
Described below are the steps to follow a career in the same:
•Step 1 Earn a Data Science Online Certification/Degree in a same-A great way to get start a career in Data Science is to get a bachelor’s degree in an applicable field similar to data science, statistics, or computer wisdom. This is among the most common qualification that Employers look for in their prospective candidates. The most common course is pgp in data science.
•Step 2 Learn Programming Languages-It’s important to have prior knowledge of relevant computer languages like Python, R, SQL, and SAS even though a bachelor’s degree may provide you with a theoretical understanding. These are programming languages with large datasets, which you can learn in your data science course.
•Step 3 Internships- Internships, are a great way to start your career and help companies hire you. Seek jobs that include keywords similar to data critic, business intelligence critic, statistician, or data mastermind. externships are also a great way to learn hands-on what exactly the job is with numbers.
•Step 4 Data Science Jobs-After you complete your internship, then you are eligible to join the same company or a new job position, there are various jobs like data scientists, data judges, and data masterminds. From there you can gain experience and work up the graduation as you expand your knowledge and chops.
DATA SCIENCE IMPORTANCE & FUTURE SCOPE
In the coming time as we can see the demand for data scientists will grow tremendously owing to the rise in data and world population, moreover, the future prospect of pursuing a career in data science looks very promising because of the mentioned below reasons:
• Data science is in high demand-Potential job seekers have many options. It is the fastest-growing job on LinkedIn and is projected to create 11.5 million jobs by 2026. This makes data science a highly professional field of work.
• The abundance of stations- Very few people have the skills to become perfect data scientists. This makes data science less saturated than other IT fields. Therefore, data science is a very rich field with many opportunities. The field of data science is in high demand, but the supply of data scientists is low. A highly paid career-Information science is one of the highest-paid professions. According to Glassdoor, Data Scientists earn an average of 15–20 lacs per year. This makes data science a very good career choice.
• Versatility-Information technology has many applications. It is widely used in several fields like healthcare, banking, consulting services, and e-commerce. Information science is a very versatile field. So, you have the opportunity to work in various fields.
• Data scientists are highly valued-Data scientists enable companies to make smarter business decisions. Companies rely on data scientists and use their knowledge to deliver better results to customers. This gives Data Scientists an important position in the company. 7. No more boring tasks Data science has helped various industries automate unnecessary tasks.
