How to Become a Data Scientist with Zero Experience in 6 Months?

Setting the Foundation

Concepts of statistics and mathematics

Python and R

Utilize platforms like Coursera for free introductory courses

Data manipulation and analysis

Specialized Knowledge Acquisition

Data Visualization: Using tools like Matplotlib and Seaborn

Machine Learning Basics: Machine learning algorithms, apply supervised and unsupervised learning

Project Work

Build a Portfolio: GitHub repositories can serve as a powerful portfolio for potential employers

Tackle real-world problems using datasets available on platforms like Kaggle

Community Engagement

Participate in forums like Stack Overflow and Reddit to seek advice

Connect with professionals on LinkedIn

Attend local and virtual events to stay updated

Upgradation

Enroll in advanced courses on Careervira

Stay informed about emerging technologies in data science

Identify areas of interest within data science and specialize (e.g., NLP, computer vision)

Landing a Job

Craft a Tailored Resume

Apply for entry-level positions and internships

Practice common data science interview questions

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