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Hands-On Data Analysis with Pandas - A Python data science handbook for data collection, wrangling, analysis, and visualization, 2nd Edition (Paperback, 2nd Revised edition)
Loot Price: R1,780
Discovery Miles 17 800
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Hands-On Data Analysis with Pandas - A Python data science handbook for data collection, wrangling, analysis, and visualization, 2nd Edition (Paperback, 2nd Revised edition)
Expected to ship within 10 - 15 working days
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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 forThis 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.
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