Updated on: May 26, 2022
You must have heard about the most promising career path that is growing in popularity these days. Yes, it’s data science. It is a highly competitive and rewarding field that is receiving recognition for providing numerous career opportunities to those who are interested. Let’s learn here can i become a data scientist as a fresher and how?
By now, you are fed up with hearing those comments from your loved ones concerning your career. If you have some interest in numbers, figures, and graphs, or you are interested in programming, or you can do programming without any difficulties, or you are willing to start something interesting and exciting to go with, then you can become data scientist as a fresher.
What is The Role of a Data Scientist?
A data scientist will perform the data analysis with maximum reliability. His role is to anticipate the issues with data management and the selection of data science tools that help in meeting the challenges. A data scientist presents the data observations in the form of results and valuable insights that help in making further business strategies.
As a data scientist, you should possess skills such as analytical skills, software management skills, communication skills, and the ability to transform new measurement theories and applications.
How to Be A Data Scientist As A Fresher?
Yes, you can become a data scientist as a fresher. If you are willing to learn and enter the field of data science, you need to acquire the required skills associated with data science. To kick-start your career as a data scientist as a fresher, you can follow the below mentioned tips.
Learn the Basics of Data Science.
Being a data scientist means you have to learn the fundamentals of data science, which includes several important subjects such as math, statistics, programming languages, data analysis, data handling, machine learning, and deep learning. You can get a good start with the help of each discipline. To learn basic to advance skill of data science, enroll Data Science Training Course in Gurgaon.
Make your own portfolio.
If you are currently working somewhere, try to instil all the fundamentals of data science into whatever you are doing right now. If you are not working somewhere, try taking on new projects in data science to maintain your portfolio.
To start off your career as a data scientist, you need to complete at least five projects that showcase your ability to handle data preparation, data management, data cleaning, data storytelling, visualization, group projects, and several similar qualities. Display your projects through your social media handles or through your workplace to make your skills go viral.
Create a Professional Profile.
This is quite important. Since your target is to highlight your data science skills to employers located worldwide, you need to create a professional profile that showcases your ability. The profile should carry the details of the projects you have done so far. Along with it, you can display the skills you possess and provide clarity on the type of projects you can handle in the future.
Upgrade Your Knowledge.
Don’t forget to sharpen your skills and knowledge as and when you get the time. Never stop learning. Once you find your initial job as a data scientist, you should carry on upgrading your skills and knowledge with the latest and updated technical skills. This is important to cope with the growing competition in the field.
Keep Networking with Like-Minded People.
Have you heard of the data scientist communities? Herein, you will get to meet like-minded people from whom you can learn more about the field. Here, you can discuss new projects, make new discoveries, learn from experts, and even find new career opportunities. Networking with such groups will benefit you in a long way. Also, you get to explore more of your abilities and talents while talking to the field experts.
Work on Your Business Skills.
Before getting into the field of data science, you should work on some basic skills that will take you a long way. Make sure to have good communication skills that will help you translate those technical findings into non-technical statements to make sure the people understand.
Your role will be to analyze the data and generate informed decisions, which can later be translated into simple language to make the customers understand their usage. You should also have the skills to gather the right information from a large pool of data. A good understanding of business is required for this.
Create an Impressive Resume.
Now that you have understood a lot about how to become a data scientist, try to create an impressive resume to start your data science career as a fresher. Be peculiar and mention everything about your projects, your skills and knowledge, and your areas of interest. This way, your resume will help you find the best job for you as a fresher.
Data science is dynamic in nature. It is growing and showing good future prospects for the employees. Thus, if you are thinking of making a career in data science as a fresher, you should take the above tips seriously and move ahead with confidence.