Python for Data Science: From Zero to Analyst: Learn Python, pandas, NumPy, and Machine Learning with Real Datasets and Projects to Become Job-Ready i

By Jack Morales

Unlock the world of data science with Python-no prior experience required. In today's job market, the ability to analyze data and build machine learning models is one of the most valuable skills you can learn. This book takes you from the very basics of Python to real-world data projects, preparing you to step confidently into data analyst roles.

Python for Data Science: From Zero to Analyst is a complete, beginner-friendly guide that shows you how to work with Python, pandas, and NumPy, and then apply those skills to real datasets. You'll learn step by step how to clean, explore, and visualize data before moving on to building your first machine learning models. Each concept is explained with clarity and paired with practical examples that mimic real workplace scenarios, so you're not just learning theory-you're gaining job-ready skills.

Whether your goal is to transition into a data career, boost your current role with analytical skills, or simply understand how data powers modern businesses, this book gives you a hands-on path to success. By the end, you'll have a solid foundation in data science and the confidence to showcase your projects in a professional portfolio.

What you'll learn inside:

Master Python programming for data analysis, even if you're starting from scratch.

Work with pandas and NumPy to manipulate, clean, and analyze datasets efficiently.

Create clear, professional data visualizations to uncover insights.

Build and evaluate machine learning models with scikit-learn.

Develop real-world projects you can showcase on your resume or portfolio.

About the author:
Jack Morales is a data science instructor and writer with a passion for making complex topics accessible. His focus is on helping beginners build practical skills they can immediately apply to real-world problems.

• Format: Paperback
• Language: English
• ISBN: B0FX971BMZ
• ISBN13: 9798270824006
• Release Date: October 2025
• Publisher: Independently Published
• Length: 154 Pages
• Weight: 0.61 lbs.
• Dimensions: 0.3" x 7.0" x 10.0"