by Blaine Bateman, Saikat Basak, Thomas V. Joseph, William So
Learn the fundamentals of data science with Python by analyzing real datasets and solving problems using pandas
Key Features
- Learn how to apply data retrieval, transformation, visualization, and modeling techniques using pandas
- Become highly efficient in unlocking deeper insights from your data, including databases, web data, and more
- Build your experience and confidence with hands-on exercises and activities
Book Description
The
Pandas Workshop will teach you how to be more productive with data and
generate real business insights to inform your decision-making. You
will be guided through real-world data science problems and shown how
to apply key techniques in the context of realistic examples and
exercises. Engaging activities will then challenge you to apply your
new skills in a way that prepares you for real data science projects.
You'll
see how experienced data scientists tackle a wide range of problems
using data analysis with pandas. Unlike other Python books, which focus
on theory and spend too long on dry, technical explanations, this
workshop is designed to quickly get you to write clean code and build
your understanding through hands-on practice. As you work through this
Python pandas book, you'll tackle various real-world scenarios, such as
using an air quality dataset to understand the pattern of nitrogen
dioxide emissions in a city, as well as analyzing transportation data
to improve bus transportation services.
By
the end of this data analytics book, you'll have the knowledge,
skills, and confidence you need to solve your own challenging data
science problems with pandas.
What you will learn
- Access and load data from different sources using pandas
- Work with a range of data types and structures to understand your data
- Perform data transformation to prepare it for analysis
- Use Matplotlib for data visualization to create a variety of plots
- Create data models to find relationships and test hypotheses
- Manipulate time-series data to perform date-time calculations
- Optimize your code to ensure more efficient business data analysis
Who this book is for
This
data analysis book is for anyone with prior experience working with
the Python programming language who wants to learn the fundamentals of
data analysis with pandas. Previous knowledge of pandas is not
necessary.
Table of Contents
- An Introduction to pandas
- Working with Data Structures
- Data I/O
- pandas Data Types
- Data Selection – DataFrames
- Data Selection – Series
- Data Exploration and Transformation
- Data Visualization
- Data Modeling – Preprocessing
- Data Modeling – Modeling Basics
- Data Modeling – Regression Modeling
- Using Time in pandas
- Exploring Time Series
- Applying pandas Data Processing for Case Studies
