Begin your journey into data analysis by mastering Python fundamentals and the basics of pandas. Learn to set up your environment and build a strong foundation for effective data manipulation.
This course introduces you to the essential tools and concepts for data analysis using Python and pandas. You will start by setting up your programming environment and learning core Python skills, including data types, functions, and object-oriented programming. The course then guides you through the basics of pandas, focusing on Series and DataFrame structures, and teaches you how to perform fundamental data selection, cleaning, and transformation tasks. By the end, you will be equipped to handle and prepare data for deeper analysis. Through clear explanations and practical examples, this course guides you step-by-step from environment setup to foundational data manipulation techniques. Each topic builds on the previous, ensuring you develop both confidence and competence in Python and pandas. This course is part one 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.
