How to Build a Career in  Data Science?

Strong Fundamentals

Mathematics and statistics

Python, R, SQL

Data types, variables, and loops

Core Data Science Skills

Pandas, NumPy

Data visualization with tools like Matplotlib, Seaborn

Clean and preprocess data

Learn Machine Learning

Machine Learning algorithms

Supervised and unsupervised learning techniques

Hands-on experience

Specialize and Explore

Data Science specialization like NLP, Computer Vision, Big Data

Contribute to open-source projects

TensorFlow and PyTorch

Building a Portfolio

Showcase your skills by working on projects

Develop a portfolio website

Update your portfolio to reflect your growth

Unlock the Salary Range of a Skilled Data Scientist in India