The Professional's Introduction to Data Science with Python

The Professional's Introduction to Data Science with PythonMaster the Transition from Spreadsheets to Scripts

A hands-on, practical guide tailored for career switchers.

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Kindle eBook ($1.99)

Hardcover ($49.99)

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Real-World Examples

Skip the theory and dive into business-relevant datasets like sales, attrition, and real estate.

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Python Masterclass

Learn Python specifically for data tasks without getting bogged down in software engineering jargon.

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Interactive Notebooks

Follow along with structured Jupyter-style sections and reproducible code blocks.

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Professional Toolkit

Set up a full data science workshop with Anaconda, Jupyter, and Git version control.

Why this Tutorial?

Most Data Science books are written for computer scientists. This one is different. It's written for the Excel expert, the Financial Analyst, and the Business Professional who knows their industry but wants to scale their impact with code.

What you will learn:

Phase 1: Foundations - Moving from cells to variables and setting up your environment.
Phase 2: Wrangling - Mastering Pandas to clean and manipulate millions of rows.
Phase 3: Visuals - Using the "Grammar of Graphics" to tell stories with data.
Phase 4: Intelligence - Implementing Machine Learning for prediction and classification.
Phase 5: Strategy - Communicating results through Executive Summaries and ROI.

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