Data Analysis with Python

An Absolute Beginner’s Guide to Learning Data Analysis Using Python a Demanding Skill for TodayDescription In an effort to provide content for beginners the book ‘Data Analysis with Python’ provides a concrete first step in learning data analysis. Written by a data professional with decades of experience this book provides a solid foundation in data analysis and numerous data science processes. In doing so readers become familiar with common Python libraries and straightforward scripting techniques.. Python and many of its well-known data analysis libraries such as Pandas NumPy and Matplotlib are utilized throughout this book to carry out various operations typical of data analysis projects.. Following an introduction to Python programming fundamentals the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming. What you will learn ● Learn the fundamentals of core Python programming for data analysis. ● Master Pythons most demanding data analysis and visualization libraries including Pandas NumPy and Matplotlib. Who this book is for This book is intended to help and teach college students and data professionals about Pythons data analysis capabilities while also allowing them to work with Python tools. Before diving into this book working knowledge of Python is a definite plus. Table of Contents 1. Introducing Python 2. Environment Setup for Development 3. Operators and Built-in Data Types 4. Conditional Expressions in Python 5. Loops in Python 6. Functions and Modules in Python 7. Working with Files I/O in Python 8. Introducing Data Analysis 9. Introducing Pandas 10. Introduction to NumPy 11. Introduction to Matplotlib 12. Connecting Dots Step by step Data Analysis Hands-on Use Case