What is data science? Data science is nothing but a blend of various tools such as machine learning, algorithms, automation, etc. It is a technological process that is used to derive meaningful data and helps in making business decisions. The technique allows businesses to analyse all the data using complex machine learning algorithms, which helps in building predictive business models. With the help of data science, businesses can effectively make appropriate decisions with a strategic project plan.
Now that you have understood what data science is in simple words let us start with the next point. So, what exactly does a data scientist do? The basic task of a data scientist is to analyse the business’s data to gain meaningful insights. The roles and responsibilities of these professionals may be different for every organisation. However, we have curated a list of the most common roles and responsibilities that they undertake.
As the name suggests, a data scientist must work with the organisation’s data. So, all the roles and responsibilities of a data scientist revolve around the respective organisation’s data. From extracting the data to finding meaningful insights, a data scientist needs to process the data to complete the entire process.
The roles that a data scientist needs to undertake while completing this entire process are given below:
We have listed applications of data science in various industries.
Once you understand the roles and responsibilities of a data scientist, the next questions are how can one become a data scientist? What is the eligibility to get into data science?
So, there are no specific criteria for who can get into a data science field. All you need is a degree and the required practical skills to assess with the same.
The most important part here is to showcase your skills. So, try taking live projects and creating a portfolio of the same. Doing an internship will also be of additional benefit and help you land a good job. Apart from that, start networking with people already involved in the data science field. Note that networking is the key to a successful data science career.
First, find out whether you are passionate about making a career in data science. Start looking out for your interests and passions. If you are someone who likes Maths, Statistics, working with chunks of data, coordinating with a team, solving all business problems, etc., data science may be the right path for you to choose.
Data science is gaining popularity day by day. The increasing advancements in data science have increased the future demand for the same. It is, therefore, one of the most lucrative choices.
After reading all the above points, you may now have a clearer picture of a career in data science. If not, we have another solid reason for you to know why data science is among the best career options. The forecast predicted by the US Bureau of Labour Statistics shows that the data science field is more likely to grow by 28% by 2026. The constantly increasing growth in the field shows the increasing demand trend. It shows the data science field’s durability, scope, and longevity.
As a result, the salaries for any job role in the field of data science will go on increasing year by year. And the most amazing part is that you can also learn data science online through various platforms. Hence, if you want a secure, stable, as well as high-paying career, you can always choose data science as the perfect profession without any second thought.
Many people in the data science field do not have a coding background. Recently, low-code and no-code data science platforms are getting popular. So, even if you do not have any prior coding experience, it is okay. You can still get into the field of data science. However, to keep making progress in your career, it is advisable to learn at least basic coding.
As the data science job market has been in tremendously high demand, you need to know coding to be able to compete with the ones who are already well-versed in it. There are a lot of coding courses and boot camps available online, where you can learn all the basics of coding. You must then consistently practice, take up coding projects and internships to keep learning more about the same.
There are a few requirements for entering the data science field.
Data scientists have to be able to think abstractly and solve complex problems, so it’s important that they have a good understanding of how computers work and what makes them tick.
You must know how to take raw data from sources such as sensors or other systems, clean it up so it’s usable, then make sense of it by analysing patterns and trends.
Finally, you’ll need experience with programming languages like Python or SQL (structured query language). These are used to query databases so you can ask questions about your data set, like “How many people bought Product X?”
READ MORE: Top opportunities with M.Sc. in Data Science in India
Today, data science is one of the trendiest career options in India as well as Abroad. Starting a career in data science without a relevant degree may not be easy. Most of you might be unsure of how to learn data science. You will need to learn various skills by taking up random courses online. However, Online Manipal has got it all for you under a single roof.
Now, you can do an M.Sc. in Data Science from the prestigious Manipal Academy of Higher Education (MAHE). The intent of this programme is to create smart data scientists depending on today’s market needs.
Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.
Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.
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