1. Wrap-up
How does it feel? You completed the introductory course to using Python in Power BI!
2. Summary
We covered a lot in this course.
Hopefully, by now, you will feel comfortable in understanding the differences between Python and Power BI in performing certain data prep and transformation tasks.
Likewise, you know the basics of creating custom Seaborn visualizations.
You are even on your way to building more statistical knowledge (in other words, calculating the correlation coefficient) if you don't have it already.
3. Next Steps
With these basics down, many options exist for further exploration and enhancing your Power BI reports.
You can learn more about Python, specifically building expertise in data visualization with Seaborn and Matplotlib.
You can become more versed in data cleaning and manipulation techniques.
You can also learn about time series and machine learning Python functions and incorporate those.
There are also a lot of great courses on Power BI. Two I would recommend are those focusing on data visualizations and report design.
4. Congratulations!
Congratulations again on completing the course! I hope this is just your first step toward becoming a Power Pythonista!