Answering Data Questions with Polars in Python
Master Essential Patterns for Data Manipulation in Polars
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What You Will Learn!
- You'll learn how to answer data questions from real-world datasets.
- You'll learn how to create beautiful visualizations with code.
- You'll learn how to write easy-to-read code that can be re-used to save time.
- You'll learn how to approach different data questions from a variety of datasets.
Description
Description
Data science and analysis is all about asking questions about your data. This course is deliberately designed for that purpose. We’ll be answering a variety of questions based on three real-world datasets. You’ll learn effective patterns for data manipulation and how to write easy-to-read code that can be re-used. To do the analysis, we’ll use Polars, a blazingly fast DataFrame library for Python that enables you to handle large datasets effortlessly. Additionally, you’ll learn how to create beautiful visualizations to effectively communicate the message of your analysis.
Real-world Datasets
This course uses three real-world datasets: 1) IMDB Movies, 2) YouTube Comments, 3) Stack Overflow Survey. You will tackle a variety of questions related to these datasets, employing diverse approaches to extract meaningful information. From statistical analysis to data visualization, you will develop a versatile skill set that will empower you to address complex data-related inquiries. This hands-on experience with real-world datasets will not only enhance your technical proficiency but also prepare you for the multifaceted challenges that arise in the world of data science and analysis.
Beautiful Visualizations
You will learn how to create visually appealing charts using code, enabling you to adeptly convey the insights derived from your analysis. The focus is on the art and science of designing compelling visuals that effectively communicate the intended message, enhancing your ability to present and share your analytical findings in a clear and impactful manner.
Who Should Attend!
- This course is for data professionals who want to learn how to answer different data questions efficiently.