3 weeks ago3 comments

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Yes, it is hard reality. There is very less option for data science jobs as a fresher unless you have BE/Tech from tier 1 college.

My advice is to start working in any temp. role and hunt for job side by side as it might take long to land a data science job.

Create a portfolio of few big project in datascience(apart from easy and common projects on youtube).

Take linkedin premium trial for free and contact with HRs or people who can help you land your first job.

Best of luck.

To land a data scientist job as a fresher, follow these steps:

1. Master Key Skills: Learn Python, R, SQL, and data analysis tools.
2. Build a Portfolio: Create and showcase data science projects on GitHub.
3. Get Experience: Pursue internships or freelance projects.
4. Earn Certifications: Complete relevant online courses or bootcamps.
5. Network: Connect with professionals on LinkedIn and attend industry events.
6. Tailor Applications: Customize your resume and cover letter for each job.
7. Prepare for Interviews: Practice coding challenges and case studies.

Starting a career as a data scientist as a fresher can be challenging but achievable with the right approach. Here are some steps you can take:

1. **Build a Strong Foundation**:
- **Education**: Obtain a relevant degree, such as in Computer Science, Statistics, Mathematics, or a related field.
- **Skills**: Learn key data science skills such as programming (Python, R), data manipulation (Pandas, NumPy), data visualization (Matplotlib, Seaborn), and machine learning (scikit-learn, TensorFlow).

2. **Create a Portfolio**:
- **Projects**: Work on real-world data science projects and showcase them. This could include Kaggle competitions, personal projects, or contributions to open-source projects.
- **GitHub**: Share your code and projects on GitHub to demonstrate your abilities to potential employers.

3. **Get Hands-On Experience**:
- **Internships**: Look for internships or entry-level positions that offer experience in data analysis or related fields.
- **Freelancing**: Consider freelance projects to gain practical experience.

4. **Certifications and Courses**:
- **Online Courses**: Enroll in online courses or bootcamps that offer certifications in data science and related tools.
- **Certifications**: Obtain certifications from recognized institutions or platforms like Coursera, edX, or DataCamp.

5. **Network and Learn**:
- **Networking**: Attend data science meetups, webinars, and conferences. Connect with professionals in the field through LinkedIn or industry groups.
- **Mentorship**: Seek mentors who can provide guidance and advice on breaking into the field.

6. **Tailor Your Resume and Cover Letter**:
- **Resume**: Highlight relevant skills, projects, and any experience related to data science.
- **Cover Letter**: Write a personalized cover letter for each application, focusing on how your skills and projects align with the job requirements.

7. **Prepare for Interviews**:
- **Technical Skills**: Be ready to demonstrate your technical skills through coding challenges or case studies.
- **Soft Skills**: Prepare to discuss your problem-solving approach, communication skills, and how you handle data-driven decision-making.

By building a solid foundation, creating a strong portfolio, gaining practical experience, and actively networking, you can enhance your chances of landing a data scientist role as a fresher.