Data Science is regarded as one of the most crucial professions in the market today. The job market provides myriads of opportunities to those with efficient skills and capabilities. You would have to undergo immense training and professional development to become an efficient Data Scientist. If you’re a fresher looking to opt for a career in Data Science, you need to develop your proficiency in the field.
The following blog post on – How to get Data Science job as a Fresher?- would cover all the aspects of professional development and skills you need.
Studying the Foundations of Data Science
In order to become a Data Scientist, you should be proficient in understanding the basics of Data Science. Various concepts include mathematics, arithmetic, Machine Learning, Artificial Intelligence, Statistics, computer science, data analysis, processing, etc. Accordingly, the fundamental concepts for you to learn in Data Science include- Math, Statistics, Data Analysis and Manipulation, Computer languages, learning machines and Data Visualisation.
Technical Skills
The focus of this section will be on the skills required for data Science. You should be aware of the various skills that you would need to pursue a Data Science career. These are:
- Learning programming languages and becoming proficient in them.
- Developing the skill for exploratory data analysis.
- Understanding the functioning of machine learning algorithms
- Have efficient communication skills
Building your Portfolio
It is essential that while you have learnt and developed the skills required for Data Science, you have also applied them through your work. You need to develop a portfolio that focuses on the efficiency of the work that you have undertaken. Your work may include developing or building a project like a predictive model or, if you’re confident enough, even a complex project. The project would be the basis through which you would be able to showcase your skills and efficiency. You may use the platform of Kaggle to develop your projects and learn techniques without having any requisite background. This would help you build a strong portfolio as you work through different projects using appropriate resources and techniques.
Opting for an Online Data Science Course
To develop your career in Data Science, you may opt for a Data Science course online, which offers internships or job guarantee programs. Technical or non-technical background does not matter nowadays in the industry for becoming a Data Scientist. Pickl.AI’s online Data Science course includes Wizard for working professionals and a Data Science Job Guarantee Program. These courses would help you develop your fundamental knowledge and Data Science skills. You would be able to partake in industry-relevant projects and develop your portfolio. Additionally, they provide internship opportunities after the completion of the course. Through the Data Science Job Guarantee Program, you would also be placed within a promising company.
Create a Profile on Github
It is essential that if you’re a beginner or someone who wants to pursue Data Science, you have a GitHub profile. The profile would highlight the various skills you have in detail, allowing recruiters to find your efficacy as a Data Scientist. Furthermore, adding the various projects that you have worked on would allow the recruiters to understand your technical skills and abilities. You can mark down your projects where you might have utilised the Jupyter Notebook or Python as your programming languages. Hence, it would enhance your resume effectively.
Networking
One of the most crucial requirements for Data Science fresher jobs is that you need to have a strong network. Building your professional network acts as an advantage in the industry where people would identify your work and would want to hire you. There are various ways you can create and develop your network:
Events: Participate or involve in community events on Data Science where you would be able to present your projects and share your views. You might network with like-minded people or professionals in Data Science and build your community.
Conferences: Strata and KDD are the platforms which are the world’s best-known conferences that discuss Data Science technologies. Involving in these conferences would help you build your network. However, if you cannot participate in these conferences, you can find some in your local community or within the city you live in. This would open up job opportunities for you.
Mentor: Building your network might become easier when you have your own Data Science mentor. The mentor in Data Science would help you develop your professional skills. You would indulge in training and build your network further in the Data Science community.
Gaining Experience in the Industry:
You may want to gain experience in your interested industry thereby opting for internship roles might be helpful. Applying for multiple internships at different companies, which would help you in utilising your skills in Data Science in industry-relevant projects. You would be able to build your network with industry experts in Data Science and would expand your knowledge. Being a fresher, you would be able to create a monumental experience for your career.
Wrapping up!
From the above blog post, it can be concluded that you need to develop your skills and portfolio to develop a career in Data Science. You should have efficient knowledge, Data Science skills as well as experience and a strong network to get a Data Science job. Some of the best Data Science jobs for freshers include Data Scientist, Data Analyst, Machine Learning Engineer, etc. You may be able to choose from your area of interest for a specified job role while you pursue a career in Data Science.
