Stefanie Molin's Books

Hands-On Data Analysis with Pandas

Efficiently perform data collection, wrangling, analysis, and visualization using Python

By: Stefanie Molin

Write a review Read reviews Take a Quiz Solve Book Puzzle

Hands-On Data Analysis with Pandas

Efficiently perform data collection, wrangling, analysis, and visualization using Python

By: Stefanie Molin

Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery Key FeaturesPerform efficient data analysis and manipulation tasks using pandasApply pandas to different real-world domains using step-by-step demonstrationsGet accustomed to using pandas as an effective data exploration toolBook Description Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data. By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. What you will learnUnderstand how data analysts and scientists gather and analyze dataPerform data analysis and data wrangling in PythonCombine, group, and aggregate data from multiple sourcesCreate data visualizations with pandas, matplotlib, and seabornApply machine learning (ML) algorithms to identify patterns and make predictionsUse Python data science libraries to analyze real-world datasetsUse pandas to solve common data representation and analysis problemsBuild Python scripts, modules, and packages for reusable analysis codeWho this book is for This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

702

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1789612802

ISBN 13

9781789612806

Hands-On Data Analysis with Pandas

Efficiently perform data collection, wrangling, analysis, and visualization using Python

By: Stefanie Molin

Write a review Read reviews Take a Quiz Solve Book Puzzle

Hands-On Data Analysis with Pandas

Efficiently perform data collection, wrangling, analysis, and visualization using Python

By: Stefanie Molin

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

702

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1789612802

ISBN 13

9781789612806

Hands-On Data Analysis with Pandas

A Python data science handbook for data collection, wrangling, analysis, and visualization

By: Stefanie Molin

Write a review Read reviews Take a Quiz Solve Book Puzzle

Hands-On Data Analysis with Pandas

A Python data science handbook for data collection, wrangling, analysis, and visualization

By: Stefanie Molin

Get to grips with pandas by working with real datasets and master data discovery, data manipulation, data preparation, and handling data for analytical tasks Key Features Perform efficient data analysis and manipulation tasks using pandas 1.x Apply pandas to different real-world domains with the help of step-by-step examples Make the most of pandas as an effective data exploration tool Book DescriptionExtracting valuable business insights is no longer a ‘nice-to-have’, but an essential skill for anyone who handles data in their enterprise. Hands-On Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time. This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. This updated edition will equip you with the skills you need to use pandas 1.x to efficiently perform various data manipulation tasks, reliably reproduce analyses, and visualize your data for effective decision making – valuable knowledge that can be applied across multiple domains.What you will learn Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Solve common data representation and analysis problems using pandas Build Python scripts, modules, and packages for reusable analysis code Who this book is 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.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

788

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1800565917

ISBN 13

9781800565913

Book's by Stefanie Molin

Hands-On Data Analysis with Pandas

Hands-On Data Analysis with Pandas

Hands-On Data Analysis with Pandas

Hands-On Data Analysis with Pandas

Hands-On Data Analysis with Pandas

Hands-On Data Analysis with Pandas

Username

Password

Username

Password

Password again

Birthday

Email