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Data Science with Python: From Data to Insights

Python, Ready, Go!

Get Python set up for data work—no headaches, just results.

You want to work with data, but Python setup feels like a maze. This tome hands you the map. Get Python running, pick the right tools, and start analyzing data without the headaches. No fluff, just the steps and tips you need to get moving.

Chapter 1 • 15 mins

Fetching the Facts
Fetching the Facts

How to Pull Data into Python Without Losing Your Mind

You want answers, not headaches. This tome shows you how to grab data from files, databases, and the web—without the usual mess. Learn the simple, reliable ways to get your data into Python, check it’s right, and get on with the fun part.

Chapter 2 • 13 mins

Cleaning the Chaos
Cleaning the Chaos

How to Make Your Data Shine (and Your Analysis Trustworthy)

Ever wondered why your data analysis feels off? The answer is usually hiding in the mess. Discover how to turn chaos into clarity, so your insights are built on something you can trust. This tome shows you the simple, practical steps to make your data shine.

Chapter 3 • 12 mins

Numbers & Narratives
Numbers & Narratives

Let Python crunch the numbers so you can focus on the story they tell.

Ever wondered what your data is really saying? Let Python do the heavy lifting with numbers, so you can focus on the story behind the stats. This tome shows you how to get quick, clear answers from your data and spot the surprises hiding in plain sight.

Chapter 4 • 14 mins

Visual Clarity
Visual Clarity

How to Make Every Chart Count (and Look Good Doing It)

You want your data to speak for itself—loudly, clearly, and with style. This tome shows you how to make every chart count, from picking the right plot to making sure everyone can read it. If you’ve ever wondered how to make your visuals both sharp and smart, you’re in the right place.

Chapter 5 • 14 mins

Patterns in the Noise
Patterns in the Noise

How to See What Others Miss in Data Science

You’re staring at a mess of numbers and columns, but you know there’s a story hiding in there. This tome hands you the tools to spot the patterns, ask the right questions, and see what others miss—before you ever touch a model. If you want to see the signal in the noise, start here.

Chapter 6 • 16 mins

First Steps in Modeling
First Steps in Modeling

A Beginner’s Shortcut to Making Predictions with Python

You’re about to learn how to make your computer guess things for you—using Python. If you’ve ever wondered how to get started with machine learning, this is your shortcut. No jargon, just the steps you need to go from raw data to your first real predictions.

Chapter 7 • 15 mins

Storytelling with Jupyter
Storytelling with Jupyter

How to Make Your Notebooks Stand Out and Get Read

Ever wondered how to make your Jupyter notebooks not just work, but actually tell a story? Discover how to turn your code and results into something people want to read, share, and learn from. Make your work stand out and your insights stick.

Chapter 8 • 15 mins

Automation Superpowers
Automation Superpowers

How to Make Data Work for You While You Sleep

Imagine waking up to find your data work already done. This tome shows you how to set up Python scripts and smart schedules so your computer handles the boring stuff—even while you sleep. Get ready to unlock the secret to effortless data automation.

Chapter 9 • 15 mins

Sharing the Spark
Sharing the Spark

How to Make Your Data Science Projects Useful, Reusable, and Trusted

You’ve done the work—now make it count. Learn how to share your data science projects so others can use, trust, and build on your ideas. This tome shows you the simple steps to make your insights travel far and wide.

Chapter 10 • 14 mins

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