Practical Data Analysis Using Jupyter Notebook
The book will take you on a journey through the evolution of data analysis explaining each step in the process in a very simple and easy to understand manner. You will learn how to use various Python libraries to work with data. Learn how to sift through the many different types of data, clean it, and analyze it to gain useful insights.
Offered by
Difficulty Level
Intermediate
Completion Time
10h44m
Language
English
About Book
Who Is This Book For?
This book is for aspiring data analysts and data scientists looking for hands-on tutorials and real-world examples to understand data analysis concepts using SQL, Python, and Jupyter Notebook. Anyone looking to evolve their skills to become data-driven personally and professionally will also find this book useful. No prior knowledge of data analysis or programming is required to get started with this book.
Practical Data Analysis Using Jupyter Notebook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h44m total length
Fundamentals of data analysis
Overview of Python and Installation of Jupyter notebook
Getting Started with NumPy
Creating your first Pandas DataFrame
Gathering and Loading Data in Python
Visualizing and working with time series data
Exploring Cleaning, Refining and Blending Datasets
Understanding Joins, Relationships and Data Aggregates
Plotting, Visualization and Storytelling
Exploring Text Data and Unstructured Data
Practical Sentiment Analysis
Discovering Patterns in Data and providing insights
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