Data Analysis with Pandas and Python: Unlock the Power of Data with Python & Pandas , Second Edition

Boris Paskhaver

₹8863.99

Video May 2026 17hrs 44mins 2nd Edition

Boris Paskhaver

₹8863.99

Video May 2026 17hrs 44mins 2nd Edition

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Key benefits

Comprehensive coverage of data analysis tools with Python and pandas
Hands-on examples to apply your knowledge to real-world problems
Learn how to manipulate, visualize, and analyze data using pandas

Description

In this course, you will start by setting up the environment and installing necessary tools like Python and Jupyter Lab. You will learn how to use Python’s powerful libraries to perform data analysis, starting with understanding data types and progressing to more advanced topics such as merging DataFrames, working with text data, and handling dates and times. Each section is crafted to build upon the previous one, ensuring a smooth learning experience. The course then dives deeper into pandas, a key library for data manipulation, where you’ll learn how to work with Series and DataFrames. You'll explore practical methods such as filtering, sorting, and aggregating data. You will also gain hands-on experience with powerful techniques for data extraction, manipulation, and visualization using pandas and other libraries. By the end of the course, you will be comfortable using pandas to tackle real-world data analysis problems. With real-life examples and practical assignments, this course offers a comprehensive introduction to data analysis with Python and Pandas. You will not only learn technical skills but also develop an understanding of the data analysis workflow, making you capable of performing complex analyses.

Who is this book for?

This course is designed for aspiring data analysts, developers who want to incorporate data analysis into their projects, and anyone interested in learning Python for data manipulation. A basic understanding of Python and general programming concepts is recommended, but no advanced knowledge is required.