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Data Analysis Foundations with Python

You're reading from   Data Analysis Foundations with Python Master Data Analysis with Python: From Basics to Advanced Techniques

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781836209072
Length 551 pages
Edition 1st Edition
Languages
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Author (1):
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Cuantum Technologies LLC Cuantum Technologies LLC
Author Profile Icon Cuantum Technologies LLC
Cuantum Technologies LLC
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Toc

Table of Contents (37) Chapters Close

1. Code Blocks Resource
2. Premium Customer Support FREE CHAPTER
3. Who we are 4. Introduction
5. Who is This Book For? 6. How to Use This Book 7. Acknowledgments
8. Chapter 1: Introduction to Data Analysis and Python 9. Quiz for Part I: Introduction to Data Analysis and Python
10. Chapter 2: Getting Started with Python 11. Chapter 3: Basic Python Programming 12. Chapter 4: Setting Up Your Data Analysis Environment 13. Quiz for Part II: Python Basics for Data Analysis
14. Chapter 5: NumPy Fundamentals 15. Chapter 6: Data Manipulation with Pandas 16. Chapter 7: Data Visualization with Matplotlib and Seaborn 17. Quiz for Part III: Core Libraries for Data Analysis
18. Chapter 8: Understanding EDA 19. Chapter 9: Data Preprocessing 20. Chapter 10: Visual Exploratory Data Analysis 21. Quiz for Part IV: Exploratory Data Analysis (EDA)
22. Project 1: Analyzing Customer Reviews 23. Chapter 11: Probability Theory 24. Chapter 12: Hypothesis Testing 25. Quiz for Part V: Statistical Foundations
26. Chapter 13: Introduction to Machine Learning 27. Chapter 14: Supervised Learning 28. Chapter 15: Unsupervised Learning 29. Quiz Part VI: Machine Learning Basics
30. Project 2: Predicting House Prices 31. Chapter 16: Case Study 1: Sales Data Analysis 32. Chapter 17: Case Study 2: Social Media Sentiment Analysis 33. Quiz Part VII: Case Studies
34. Project 3: Capstone Project: Building a Recommender System 35. Chapter 18: Best Practices and Tips 36. Conclusion
37. Know more about us

Chapter 2: Getting Started with Python

 

Welcome to Part II of your data analysis journey! In this chapter, we will be transitioning from understanding what data analysis is to actually doing it with Python, our language of choice for this adventure. We understand that some readers may have little to no coding experience, while others may have a bit of experience. Therefore, this chapter aims to set everyone on the same page by providing an in-depth overview of Python basics.

We'll start by guiding you through the process of installing Python on your system. This will ensure that you have everything you need to get started with data analysis. Next, we will provide an overview of Python's syntax. Python is a simple yet powerful language, and we want to make sure that you are comfortable with it before we dive deeper into data analysis.

After you are comfortable with Python's syntax, we will introduce you to Python's data structures. These data structures form...

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