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Data Analysis with Pandas and Python - Boris Paskhaver

Data Analysis with Pandas and Python

By: Boris Paskhaver

eText | 18 October 2017 | Edition Number 1

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Master data analysis with our Pandas and Python course, covering setup, advanced manipulation, and visualization. Gain real-world skills on DataFrame operations and time series analysis, ideal for beginners aspiring to be data analysts.

Key Features

  • Detailed step-by-step guidance on the installation and setup of key data analysis tools.
  • Comprehensive coverage of Pandas functionalities, from basics to advanced techniques.
  • Focus on real-world applications, enhancing your ability to analyze complex datasets.

Book Description

This course begins with the essentials, introducing you to Anaconda and Jupyter Lab setup for Python and Pandas. You'll gain foundational knowledge in Python before diving into Pandas for data analysis. The focus then shifts to Series and DataFrame structures, providing you with the skills to manage and manipulate data effectively. Further, the course covers handling dates and times, and performing various file input and output operations, essential for real-world data analysis tasks. Advanced sections delve into data visualization using Matplotlib, enabling you to create impactful charts and graphs. You'll also explore advanced Pandas options and settings, enhancing your data manipulation capabilities. By the end of this course, you'll have a comprehensive understanding of data analysis techniques. You'll be equipped to handle complex datasets, perform detailed analysis, and present data visually, opening doors to advanced data analysis and manipulation in professional settings. Resources: https://github.com/PacktPublishing/Data-Analysis-with-Pandas-and-Python

What you will learn

  • Understand and utilize Python's basic and advanced data types.
  • Master Series and DataFrame operations in Pandas.
  • Handle complex data types like dates and times.
  • Perform input and output operations with different file types.
  • Create and customize various types of data visualizations.
  • Optimize data analysis with advanced Pandas settings and functions.

Who this book is for

Ideal for data analysts, aspiring data scientists, and professionals keen on mastering data manipulation and analysis. This course is a perfect fit for those with basic Python knowledge looking to delve deep into data analytics using Pandas. Whether you're aiming to enhance your skillset for professional growth or apply data analysis techniques in your current role, this course offers a comprehensive learning path from Python basics to advanced data handling and visualization techniques in Pandas.
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