Hands-On Data Analysis with Pandas
Knowing how to work with data to extract insights generates significant value. This book will help you to develop data analysis skills using a hands-on approach and real-world data. You’ll get up to speed with pandas 1.x in no time and build some software engineering skills in the process, vastly expanding your data science toolbox.
Offered by
Difficulty Level
Intermediate
Completion Time
26h16m
Language
English
About Book
Who Is This Book For?
This book is for data science beginners, data analysts, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. Data scientists looking to implement pandas in their machine learning workflow will also find plenty of valuable know-how as they progress. You’ll find it easier to follow along with this book if you have a working knowledge of the Python programming language, but a Python crash-course tutorial is provided in the code bundle for anyone who needs a refresher.
Hands-On Data Analysis with Pandas
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 26h16m total length
Introduction to Data Analysis
Working with Pandas DataFrames
Data Wrangling with Pandas
Aggregating Pandas DataFrames
Visualizing Data with Pandas and Matplotlib
Plotting with Seaborn and Customization Techniques
Financial Analysis - Bitcoin and the Stock Market
Rule-Based Anomaly Detection
Getting Started with Machine Learning in Python
Making Better Predictions - Optimizing Models
Machine Learning Anomaly Detection
The Road Ahead
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