In pandas, the index is crucial. It plays a fundamental role in data alignment, retrieval, and selection, making it a key component for efficient data manipulation and analysis. In this course, Understanding Series Index and Values in pandas, you’ll gain the ability to efficiently and effectively use indexes in pandas Series and DataFrames. First, you’ll explore the indexes in pandas Series and review some of their advanced techniques. Next, you’ll discover indexes in pandas DataFrames and look into some of their advanced techniques. Finally, you’ll learn about time series indexing. When you’re finished with this course, you’ll have the skills and knowledge of Series index and values in pandas needed to proficiently leverage index functionality in pandas Series and DataFrames for enhanced data manipulation and analysis.
Author Name: Amruta Mahajan
Author Description:
Amruta is an experienced Data Analyst with over 12 years of experience in interpreting and analyzing data to drive successful business outcomes. She loves tackling hard problems using data manipulation as her superpower and has worked with market leaders from various fields including Standard & Poors, McDonalds, Mondelez International, General Electric, AMD and Beam Suntory. Amruta is passionate about both teaching and learning and believes “The purpose of life is to discover your gift. The work… more

Table of Contents

• Course Overview
  1min
• Understanding Indexes in pandas Series
  16mins
• Advanced Indexing Techniques in pandas Series
  13mins
• Exploring and Customizing an Index in pandas DataFrames
  20mins
• Advanced Techniques with pandas Indexes
  16mins
• Time Series Indexing
  12mins