Free Data Science Roadmap for Beginners: 5 Steps to Start Your Journey

πŸš€ Want to break into Data Science but don’t know where to begin?
You’re not alone. Data Science is one of the most in-demand fields today, but with so many courses online, it can feel overwhelming.

Here’s a completely FREE roadmap designed just for beginnersβ€”covering Python, data analysis, visualization, and machine learning. No prior experience needed!

𝐏𝐚𝐲 π€πŸπ­πžπ« 𝐏π₯𝐚𝐜𝐞𝐦𝐞𝐧𝐭 π“π«πšπ’π§π’π§π  𝐏𝐫𝐨𝐠𝐫𝐚𝐦- π†πžπ­ 𝐏π₯𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 πŒππ‚'𝐬

πŸ“ Who Is This Roadmap For?

  • Students looking to build a career in tech
  • Freshers aiming to land their first data role
  • Career switchers curious about the field
  • Anyone who wants to learn Data Science for free

🎯 Free Data Science Roadmap for Beginners (With Certifications)

Let’s break it down into 5 clear steps so you can follow along easily:

πŸ”Ή 1. Start with Python Basics

Before diving into data, you need to learn Python. This interactive course on Kaggle is beginner-friendly and teaches you all the essentials.

πŸ‘‰ Learn Python on Kaggle

πŸ”Ή 2. Strengthen Your Foundation in Data Analysis

Get hands-on experience with Python specifically for data analysis using OpenClassrooms.

πŸ‘‰ Python for Data Analysis – OpenClassrooms

πŸ”Ή 3. Get Certified in Scientific Computing

This course by freeCodeCamp offers certification and covers topics like loops, functions, and data structures using Python.

πŸ‘‰ Scientific Computing with Python – freeCodeCamp

πŸ”Ή 4. Advance with Pandas and Data Visualization

Time to get visual! Learn how to explore, clean, and visualize data with these two popular Kaggle courses:

πŸ“Š Data Visualization – Kaggle
πŸ“Š Pandas – Kaggle

πŸ”Ή 5. Dive into Machine Learning Basics

Finally, start learning how to build predictive models with real-world datasets.

🧠 Intro to Machine Learning – Kaggle

πŸ’¬ Final Thoughts:

Data Science is more accessible than everβ€”with these free, beginner-friendly resources, you don’t need to pay anything to start your learning journey.

πŸ’‘ Tip: Practice consistently and document your progress on GitHub or LinkedIn. It builds credibility!

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