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How to Get a Data Science Job as a Fresher


    Data science is a widely popular, competitive and rewarding field. With its high demand, it offers promising career options to candidates. According to the U.S. Bureau of Labor Statistics's prediction, around 11.5 million data science jobs will be generated by 2026.

    Data Science Job as Fresher

    However, getting a data science job initially can be challenging. But don't worry, as in this blog, we have discussed a step-by-step guide to getting a Data science job as a fresher. 

    Steps to Get a Data Science Job as a Fresher 

    #1. Identify your skill 

    The first step before searching for a job is to identify your skills. Learn how proficiently you can work on the projects and where you need to improve. Also, work on the betterment of communication, critical thinking, and problem-solving skills as they play a vital role in preparing for the interview. 

    #2. Master Fundamentals and Skills

    Gain proficiency in the basics of data science, including statistics, mathematics and programming language, especially Python or R. Moreover, learn the core data science skills such as manipulation, analysis, and visualization. Mastering these skills and fundamentals will help you excel in the field. 

    #3. Define Industry 

    Defining the industry from I.T., e-commerce, and ed-tech will help you shortlist the company for the interview. Representing the industry will also help you work on your understanding of business and its requirements. You can choose one industry, search for a job, go through the J.D.s of different companies, identify if you possess those skills, and if not consider to learn them. 

    #4. Select a Job Role 

    The field of data science offers you different job roles. These job roles include additional responsibilities and ask for expertise in various skills. You can choose any job role that interests you. 




    Data Analyst

    Data manipulation and visualization, Excel, SQL, Data visualization libraries

    Data cleaning, preprocessing, querying and visualization

    Machine Learning

    Algorithms, hyperparameter tuning, model selection, evaluation metrics, TensorFlow, scikit-learn, PyTorch

    Supervised and unsupervised learning, clustering, regression, classification, ensemble methods, deep learning architectures

    Natural Language Processing

    NLP libraries, frameworks, spaCy, NLTK, transformers, classification, entity recognition, sentiment analysis, fine-tuning language models

    Word embeddings, Recurrent and Convolutional Neural Networks (RNNs and CNNs), text preprocessing

    Big Data

    Large-scale data processing, storage and processing in distributed environments           

    MapReduce, data partitioning, sharding


    Deep learning

    Deep learning frameworks, deep neural networks, computer vision, NLP applications

    Neural network architectures, transfer learning, backpropagation, optimization algorithms

    #5. Gain Experience

    To get an entry-level job, you must also gain some experience; you can first do on-the-job training or an internship before applying for a full-time job in the data science field. You can also work as a freelancer on any small project for experience. 

    #6. Build portfolio

    Building a solid portfolio is essential to showcase your skills and learnings. Try to include all relevant tools you know associated with your job role. You can create a portfolio by working as an intern or developing your projects. 

    #7. Expand your network 

    Networking is crucial in today's world. It does not only help you in taking the job but also grasp the opportunity to learn or take guidance. You can expand your network by using Linkedin, Meetup, Reddit, etc.  

    #8. Create a Resume and Cover Letter

    Your resume and cover letter will create your first impression for a recruiter. So, it should look professional and include all the essential skills, past experiences, educational qualifications, etc. Besides, in your cover letter, explain what made you apply for the job and how excited you are to work with them. 

    #9. Ace the Interview 

    Having skills and representing those skills are two different things. You must learn how to integrate both of them. Prepare yourself well for the interview. Practice questions, craft your answers, and, in the end, ace the interview. Stay confident in your skills and believe in yourself; a first Job can be a groundbreaking path for you. 


    Acquiring skills, confidence, and real-project experience can help you get the job as a fresher. Hence, focus on learning. Various online learning sources are available, such as YouTube videos, case studies, PDFs, e-books, and more, to help you gain relevant skills. 

    You can also join any data science course offered by I.T. training institute to upskill yourself in order to excel in the field. 

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