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.

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. 

Role	Skills	Knowledge
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. 

Conclusion 

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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