Advanced Pandas
Advanced Pandas : If you’ve worked in Python, you’re likely familiar with the basic of pandas. In this advanced course, instructor Brett Vanderblock shares how you can take advantage of the advanced functions of pandas—such as working with dates, dealing with missing data, merging DataFrames, and more—to work more effectively with your data.
First, Brett introduces you to DataFrames, identifies the top functions in pandas, and shows you how to configure your pandas workspace efficiently. He walks you through converting data types, working with strings, and using the apply map and applymap functions effectively.
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.
Advanced Pandas
He shows you how to combine Groupby and multiple aggregate functions in pandas and how to use the merge, join, and concat functions. Brett steps through plotting and statistical functions with pandas. He concludes by explaining how you can use pandas-profiling and Geopandas to get the most out of your functions and data.
Hi everyone. My name is Pawel Kordek, and welcome to my course, Advanced Pandas. I am a software engineer at Feedzai where I develop data processing applications to fight financial fraud. Nowadays, Python is getting more and more popular in the field of data analysis, and pandas is becoming the preferred library for many data scientists.
Course details
If you’ve worked in Python, you’re likely familiar with the basic of pandas. In this advanced course, instructor Brett Vanderblock shares how you can take advantage of the advanced functions of pandas—such as working with dates, dealing with missing data, merging DataFrames, and more—to work more effectively with your data.
First, Brett introduces you to DataFrames, identifies the top functions in pandas, and shows you how to configure your pandas workspace efficiently. He walks you through converting data types, working with strings, and using the apply map and applymap functions effectively. He shows you how to combine Groupby and multiple aggregate functions in pandas and how to use the merge, join, and concat functions.
Brett steps through plotting and statistical functions with pandas. He concludes by explaining how you can use pandas-profiling and Geopandas to get the most out of your functions and data.
In this course, we are going to explore non-trivial parts of pandas and learn how to use it in order to get full control over your datasets. Some of the major topics that we will cover include joins, handling multidimensional data, time series and windows, and plotting.
By the end of this course, you will know how to handle complex datasets and analyze your data in a principled way with pandas. Before beginning the course, you should be familiar with Python and have basic experience with pandas, for example, from my course on Pandas Fundamentals. I hope you’ll join me on this journey to learn pandas with the Advanced Pandas course, at Pluralsight.
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Released 2/1/2021
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