Mastering Python Toolkits for Data Science
Have you ever felt like you've learned all the data science concepts and tools but have no idea how to apply them to real-world projects?
Maybe you have gone through loads of lectures without implementing them yourself. That is not what you want. You wouldn't pass any job interviews or create any impacts without fixing this...
Luckily, this book will teach you the different things that will help you learn data science with Python "practically."
Unlike other resources, this book provides comprehension project-based learning. You will learn essential Python libraries (NumPy, Pandas, SciPy, Matplotlib, & Seaborn) for doing Exploratory Data Analysis from scratch.
Using the NYC Airbnb Dataset, you will see when to use which functions instead of another in what scenarios.
If you're a beginner, don't worry. Every code written in this book has a very detailed description. And if you're already an expert, you might find hidden gems you didn't know about.
Here's a sneak peek at the chapters:
- Chapter 1: Welcome!
- Chapter 2: NYC Airbnb Data Analysis
- Chapter 3: Installation and Dataset Download
- Chapter 4: Data Preparation and Cleaning
- Chapter 5: Data Exploration and Visualization
- Chapter 6: Statistical Analysis
- Chapter 7: Time Series Analysis
- Chapter 8: Interactive Visualization with Plotly
- Chapter 9: Conclusion
Sounds good? You know what? This book is just an early access. There is a lifetime update for the book you received. So when I learn new things, I always share them with you. It may be more than a hundred pages long in the future, so grab it now and keep learning with me!