At the core of practicing effective data science is a thorough knowledge of data analysis tools, and among them, Pandas is one of the most popular. In this course, Advanced Pandas, you will learn the skills you need to perform data analysis that is effective and full of useful insights. First, you will learn how to prepare your dataset for a smoother experience. Next, you will discover how to perform database-style joins, work with higher-dimensional data, analyze time series, and apply window operations. Finally, you will explore how to present the data by generating informative and appealing plots. When you’re finished with this course, you will have an advanced understanding of the Pandas library and the knowledge that will help you as you move forward and grow as a professional data scientist or analyst.
Author Name: Paweł Kordek
Author Description:
Paweł is a software engineer passionate about knowledge sharing. He’s especially focused on processing and exploring data sets (be it big or small) and is always searching for emerging tools that will make working with data simpler in the future. Paweł is currently at Farfetch where he develops data applications and sees his favorite tools like Pandas, Kafka or ElasticSearch (just to name a few) being applied to solve complex business problems. He mostly works with JVM languages and Python, but … more

Table of Contents

• Course Overview
  1min
• Overview
  2mins
• Preparing Your Dataset
  24mins
• Joining Multiple Data Tables
  23mins
• Moving Between Long and Wide Data Formats
  20mins
• Multi-level Indexes
  18mins
• Handling Time Series
  23mins
• Getting More Insights into Your Data with Windows
  13mins
• Plotting and Presenting Your Data
  22mins