Advance your data analysis skills by exploring powerful pandas techniques for data extraction, text processing, hierarchical indexing, and group-based analysis. Unlock new ways to organize and summarize complex datasets.
This course delves into intermediate data manipulation methods using pandas, enabling you to extract, filter, and transform data with greater precision. You will learn to work with text data, manage hierarchical (MultiIndex) structures, and perform group-based aggregations for insightful summaries. The course also covers merging DataFrames and handling diverse data sources, preparing you to tackle more sophisticated data analysis challenges. Building on foundational skills, this course uses practical demonstrations and real-world examples to deepen your understanding of pandas. Each module introduces new techniques and reinforces learning through progressively complex scenarios. This course is part two of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on Data Analysis with Pandas and Python, by Boris Paskhaver. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.















