How to get a Data Scientist job as a fresher?

What companies expect from a fresher?

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.

• At least one or more programming language – R/ Python/Java
• Machine Learning Algorithms
• Advanced Machine Learning (Deep Learning)
• Big Data Processing Frameworks
• Data Wrangling and Data Exploration
• Data Extraction, Transformation, and Loading
• Data Visualization
• Statistics

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.

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How to get a Data Scientist job as a fresher

To get a data scientist job in your required domain, you need to organize your CV, make a strong portfolio and prepare for interviews.

• Make a Portfolio

  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.

  Participate in Kaggle Competitions

  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.

• Keep Applying to reputable companies:

  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.

  Watch Free Videos on Youtube

• Connect to data scientist community on LinkedIn

  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.

• Get on GlassDoor

  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.

• Build a skill

  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.

• Prepare for Interviews

  Always ready for interview calls. Take every interview you can. Note skills you need to build. Prepare for unexpected questions.

• Try Internship Opportunities

  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.

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