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Home / Blog / Data Science / How to get a Data Scientist job as a fresher?
Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of AiSPRY and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 17 years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.
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The field of data science is a huge, quickly expanding profession that may provide competent employees with well-paying careers. The data science sector has seen a sharp rise in job prospects in recent years. A data scientist assists businesses in increasing their sales. They must gather data, examine it, and draw conclusions from it.
Every firm wants to employ data scientists at high salaries in order to grow sales and profits. More individuals desire to work in the data science sector since businesses and corporations in India are not afraid to provide higher compensation for data scientists.
But a new hire must consider the experience before applying for a position as a data scientist. Because they are new, they can have trouble finding work due to their inexperience.
Let's examine how a data scientist might land a job as a recent graduate. What qualifications must one have in order to work as a data scientist? What methods does a new graduate use to get a job?
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The essential skill to become a data scientist is to have a good command of programming languages such as R, SQL, Python or MatLab, etc. Moreover, a fresher must possess strong business acumen, a data-driven problem-solving approach, and expertise in Statistics, Predictive modeling, Data manipulation, data wrangling, and visualization.
A fresher must have these skills.
Data science is a vast field. There are many options available for people other than "data scientists." Freshmen can work on analytics, machine learning, AI, and data processing at a firm, get experience, and eventually become data scientists.
The employment market in India is quite reluctant to take on a young data scientist. Everyone out there demands at least two years of experience, but where can a new hire acquire that amount of experience?
Almost all data scientist's job descriptions require these skills from fresher.
Data Science is a large discipline that is expanding quickly. You must possess a wide range of abilities. You can acquire whatever you desire except for the essentials. Are you qualified for that job or prepared for that? The leading position for IT job seekers is data scientist. Thus, choosing to pursue a career in data science is a wise decision.
To get a data scientist job in your required domain, you need to organize your CV, make a strong portfolio and prepare for interviews.
As a recent data scientist graduate, you must create a portfolio in order to obtain employment. Create a GitHub repository for all your projects. Put all of your projects there so that when a recruiter looks at your profile, they can see that you have practical experience and a solid understanding of the fundamentals. You will travel far with this.
When looking for a job as a data scientist as a recent graduate, it is crucial to demonstrate your prior expertise by building a technical portfolio.
Do some real-world data science projects, participate in the Kaggle competition. kaggle provides data sets for practice as well. You can join Kaggle (Your Home for Data Science) ) -A good way and taking classes simultaneously are a good way to gain skill in this area, and from here, you can also apply for a Data Scientist job.
You are good in Database, Statistics (Mathematics), Python/R, Excel, and Data visualization; then you can also apply through off-campus- LinkedIn, Glass Door, Indeed, Monster, Companies career section, or other portals.
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If you excel in databases, statistics (mathematics), Python/R, Excel, and data visualisation, you can also submit your application through an off-campus portal such as LinkedIn, Glass Door, Indeed, Monster, Companies Career Section, or another site.
On this website, you need to do some research. Read three to five data scientist job descriptions according to your skillset. Note skills you need to enhance and work on this. Apply for a data scientist position in companies, whether you are making a perfect match for it or not.
You must perform some research on this website. According to your skill set, read three to five job descriptions for data scientists. Make a note of the talents you need to develop and practise on them. Whether or whether you are a great fit for the role of data scientist, apply for it nevertheless.
Always ready for interview calls. Take every interview you can. Note skills you need to build. Prepare for unexpected questions.
Always prepared for calls for interviews. Take part in any interviews you can. Observe the talents you need to develop. Be ready for unforeseen inquiries.
Even if finding a job as a recent graduate might be difficult, you have to start from scratch. Because you are a new employee, companies don't trust your abilities because you lack experience. But you need an opportunity to show off your skills. Make a plan to land a job as a fresher and try to get the right direction.
Any field will be a little challenging for beginners, but not impossible. You can now apply for internships. Visit some online real-world apps. Construct some models. Additionally, keep trying. You may start off with some fresh businesses, pick up knowledge along the way, and eventually advance to larger businesses.
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