An Absolute Beginner's Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python's fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn 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, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python's built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python's most demanding data analysis and visualization libraries, including Pandas, NumPy, and Matplotlib.Refresh your step-by-step data analysis process with live examples.Extend your expertise to include real-time data analysis and the creation of simple Python scripts.Work with external files such as Excel, CSV, and others to clean them up for further analysis.Who this book is forThis book is intended to help and teach college students and data professionals about Python's 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 Contents1. Introducing Python2. Environment Setup for Development3. Operators and Built-in Data Types4. Conditional Expressions in Python5. Loops in Python6. Functions and Modules in Python7. Working with Files I/O in Python8. Introducing Data Analysis9. Introducing Pandas10. Introduction to NumPy11. Introduction to Matplotlib12. Connecting Dots Step by step Data Analysis Hands-on Use CaseRead more