About this Course

Mastering Python and R in Alteryx workflows can dramatically enhance your data analysis capabilities. This comprehensive guided project teaches you how to leverage these powerful scripting languages within Alteryx to perform advanced analytics on real-world HR data. This project-based course is designed for data analysts who already understand Alteryx basics but want to extend their capabilities through Python and R integration for more sophisticated analysis. More specifically during this 1-hour guided project you will learn how to: - Understand how to use the Python and R Tools in Alteryx for advanced data manipulation - Use Python and R to preprocess and visualize data within an Alteryx workflow - Build and evaluate a predictive machine learning model in Python and R To achieve this, you will create a complete end-to-end analytics workflow that incorporates both Python and R scripts within Alteryx to analyze HR data, identify patterns in employee behavior, and develop predictive models for attrition risk. This solution showcases how to leverage scripting languages to extend Alteryx\'s native capabilities. This project is unique because it bridges the gap between Alteryx\'s user-friendly interface and the powerful programming capabilities of Python and R, teaching you practical integration techniques that can be applied to real business challenges. In order to be successful in this project, you will need basic familiarity with Alteryx Designer (e.g., input tools, transformations), fundamental knowledge of Python (e.g., Pandas, Matplotlib, Seaborn, Scikit-learn) and/or R (dplyr, zoo, ggplot2), and experience working with structured datasets (e.g., CSV files, Excel).

Created by: Coursera Project Network