Career in Data science

How to start a career in data science with no experience?

Picking up a perfect career is a dream for many. However, it’s hard to pick the best one as many times we find no particular kind of support or guidance as to where to start with. These days, apart from those common and most popular job profiles such as doctor or engineer, aspirants are moving ahead and accepting the fast pacing technological innovations and the emerging careers out of it.

Among many, data science is one such highly demanded career that is creating strong job prospects for the talented. Thus, if you are thinking of turning into a data scientist right now, then it would be the best decision for you.

Many of you want to raise a query as to how you can build your career in data science if you have no prior experience in the stream. Well, there are plenty of ways to do so. But before getting into the ways, let’s discuss a little about data science.

Also Check: Best Institute for Data Science in Gurgaon

What is data science?

Data science is the new technological advancement that helps in collecting, recording, maintaining, and analyzing the large pool of data from which necessary and valuable information can be gathered. A data scientist is used to collect and clean huge piles of data and create databases, interpret it to solve problems and build algorithms that are further used to create visualizations of the strategies.

Aspirants can find the field of data science rewarding and beneficial as it helps in reaping high salaries, stable careers, and access to a growing job market even in the time of recession.

Is data science hard to pursue?

Whether any subject is hard or not depends upon the way you take it. If you think it’s hard, it will be and vice-versa. If you enjoy working with numbers and data and are willing to learn how to code, then you can actually pursue this career with interest.

Data science is all about tough problems, large amounts of data, domain knowledge and technical expertise. Despite the fact that you don’t have any prior experience in the stream, you can take it easily with the help of upskilling techniques and by learning new technologies.

Is it necessary to have a degree to enter data science?

Not exactly! To get into data science, you must first complete some advanced education or obtain a professional degree. All you need is a passion to become a data science professional and to follow the below mentioned steps to break into data science without any prior experience.

Step 1: Improve your math skills.

If you come from a background that includes quantitative concepts such as statistical methods, linear algebra, statistical modeling, regression analysis, hypothesis testing, etc., then data science will be easy for you. Before entering the data analysis task, you are required to do plotting of the data on the graphs and settle the trends between the variables, which calls for sharpened math skills.

Step 2: Learn a programming language.

Data science is all about skills. You do need to showcase where and which school or college you came from. Instead, you have to demonstrate the skills and knowledge you own in the field. Thus, be prepared to learn some programming language, probably two, to become a data scientist. You can learn from the list: Python, SQL, R, and SAS.

Step 3: Hone your skills through side projects or internships.

Just to build up the resume of a data scientist, it’s important to show some working experience. Thus, be ready to try your skill set and knowledge to get some practical experience. You can either do some side-projects or you can even do internships to power-up your learning journey with data science. There are numerous online platforms where you can find real-world projects.

Step 4: Begin as a data analyst.

It’s not that once you start your career in data science, you immediately grab that data scientist job. You can do one thing—start your career as a data analyst. Learn to manage the data collection and identify the trends in the dataset. This will help you gain the required experience, which will further fuel your journey to turn into a data scientist.

Step.5. Don’t forget to work hard.

This is a bit important. Once you have decided to explore the growing field of data science, you should be ready to do some hard work along the way. It’s not that easy to break into the queue of professionals and take the targeted position in data science. You have to learn more about the career opportunities and be in touch with the experts in the field to score well in the tough and competitive market.

When you are about to make that shift to data science without any prior experience, you should be ready with your resume, with the technical knowledge you have acquired, with the details of the project you have done, and above all, with the right mindset to explore the vibrant field of data science.

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