Wrapping up
1. Wrapping up
You've reached the end of the course - well done!2. Chapter 1
In Chapter 1, you focused on transforming data with expressions. You cleaned and concatenated text, searched and extracted substrings, and replaced values. You also built conditional logic with when-then-otherwise and applied if-else style transformations to your columns.3. Chapter 2
Chapter 2 covered time series and window operations. You parsed and manipulated dates, filtered and aggregated by time periods. You computed rolling and cumulative statistics and used over to apply window functions by group.4. Chapter 3
In Chapter 3, you combined and joined DataFrames. You concatenated and appended tables vertically and horizontally, performed inner, left, and outer joins, and used join-asof and conditional joins for time-based and nearest-match linking.5. Chapter 4
Chapter 4 brought in custom transformations and advanced analytics. You applied custom Python functions and rewrote them as Polars expressions, computed quantiles and histograms, and used ranks and correlations to summarize and explore your data.6. Congratulations!
Congratulations on finishing Data Transformation with Polars. You now have a strong set of skills for cleaning text, working with time series, joining DataFrames, and building custom analytics. Now you're ready to transform real-world data into insights!Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.