Python for Data Scientists – Complete Beginner Series | Jeslin Lois

This is your go‑to guide for learning Python step by step — written especially for beginners, students, and aspiring data scientists who want clarity over complexity.

In this series, I teach Python the way I wish someone had taught me when I started — with simple explanations, clear examples, and real practice.

Whether you’re completely new to coding or looking to build a strong foundation for data science, you’re in the right place.

Blog Series Directory

Each blog builds on the last. I recommend starting from Blog #1 and following along in order for the best learning experience.

• Blog #1: Why Every Data Scientist Needs to Know Python
  Why Python is the best tool for data science and what this series will teach you.
  🔗 [Read Blog #1]

• Blog #2: Writing Your First Python Program Using Google Colab
  Zero setup required. Learn how to run Python in your browser with one line of code.
  🔗 [Read Blog #2]

• Blog #3: Python Variables – Explained So Clearly, You’ll Never Forget Them
  Understand what variables are, how to use them, and practice with real‑life examples.
  🔗 [Read Blog #3]

• Blog #4: Understanding Python Data Types – Made Simple
  Learn how Python knows whether you’re storing text, numbers, or yes/no values.
  🔗 [Read Blog #4]

• Blog #5: Understanding Python Strings – Made Simple
  Learn how to create, join, slice, and format text with beginner‑friendly examples for data science.
  🔗 [Read Blog #5]

• Blog #6: Python Numbers – Your Complete Beginner’s Guide (Coming soon)
  Master integers, floats, and math operations with practical examples for data science.
  🔗 Coming soon

What to Expect

• Beginner‑friendly breakdowns

• Code you can run immediately in Google Colab

• Real‑world examples and practice exercises

• Weekly updates and new blog drops

• Optional PDF downloads and cheat sheets (coming soon)

Who This Series Is For

• Students learning Python for the first time

• Career switchers getting into data science

• Anyone tired of confusing tutorials and missing fundamentals

Save This Guide

Bookmark this page — it will be updated every time a new blog in the series is published.

Follow along here, and connect with me on LinkedIn to stay in the loop as we build your Python for Data Science foundation, step by step.

Thanks for starting your Python journey here — let’s make it simple, structured, and beginner‑friendly.

— Jeslin Lois

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