After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
课程介绍
Take your Polars skills further with intermediate techniques for data transformation and analysis. Learn to clean and search text, work with time series using rolling and window functions, and combine DataFrames through joins and concatenation. You'll also create reusable custom expressions and apply advanced analytics, such as quantiles, histograms, and correlations. By the end, you'll be equipped to handle complex data workflows with confidence.
先修要求
课程大纲
课程大纲
1
Transforming Data with Expressions
In this chapter, you'll learn how to clean and search text data, extract patterns from strings, and use conditional expressions to transform columns.
- Transforming Data with Expressions50 经验值
- Converting column data types100 经验值
- Removing whitespace100 经验值
- Concatenating text columns100 经验值
- Searching and extracting text50 经验值
- Searching text100 经验值
- Extracting strings from text100 经验值
- Replacing multiple patterns100 经验值
- Creating conditional expressions50 经验值
- Categorizing customers with conditions100 经验值
- Chaining multiple conditions100 经验值
- Filling missing values100 经验值
2
Working with Time Series and Window Functions
Learn how to parse and manipulate dates, filter and aggregate data by time periods, and calculate rolling and cumulative statistics.
3
Combining and Joining DataFrames
This chapter covers combining DataFrames via concatenation, joining on single or multiple columns, and matching rows based on conditions or nearest values.
4
Custom Transformations and Advanced Analytics
Learn how to build reusable custom expressions, categorize data using quantiles and fixed thresholds, and analyze rankings and correlations.
Data Transformation with Polars
课程完成
