Step 1: Introduction to Data Science

1. Title: What is Data Science?

• Course: What is Data Science? by IBM

1. Title: Python for Data Science and AI

• Course: Python for Data Science and AI by IBM

Step 2: Data Wrangling and Exploration

1. Title: Data Wrangling and Exploration

• Course: Data Wrangling and Exploration by IBM

1. Title: Data Visualization with Python

• Course: Data Visualization with Python by IBM

Step 3: Machine Learning Fundamentals

1. Title: Machine Learning for Everyone

• Course: Machine Learning by Andrew Ng

1. Title: Applied Machine Learning

• Course: Applied Machine Learning by University of Michigan

Step 4: Advanced Machine Learning and AI

1. Title: Deep Learning Specialization

• Specialization: Deep Learning Specialization by Andrew Ng

1. Title: AI for Everyone

• Course: AI for Everyone by Andrew Ng

Step 5: Big Data and Data Engineering

1. Title: Big Data Specialization

• Specialization: Big Data Specialization by UC San Diego

1. Title: Data Engineering on Google Cloud

• Course: Data Engineering on Google Cloud by Google Cloud

Step 6: Specialized Topics and Advanced Tools

1. Title: Natural Language Processing Specialization

• Specialization: Natural Language Processing Specialization by deeplearning.ai

1. Title: TensorFlow in Practice

• Specialization: TensorFlow in Practice by deeplearning.ai

Step 7: Business and Communication Skills

1. Title: Data Science and Business Analytics

• Specialization: Data Science and Business Analytics by University of Illinois

1. Title: Data Science Professional Certificate

• Specialization: Data Science Professional Certificate by IBM

Step 8: Capstone Project and Real-World Experience

1. Title: Applied Data Science Capstone

• Course: Applied Data Science Capstone by IBM

1. Title: Data Science at Scale Specialization

• Specialization: Data Science at Scale Specialization by University of Washington

This roadmap provides a structured path to become a proficient data scientist, leveraging courses and specializations from Coursera. Each step builds on the previous one, covering fundamental to advanced topics in data science.