Case Study: Analyzing Fitness Data in Alteryx

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!

The fitness product industry is intensely competitive, and success depends on developing effective marketing strategies and products that align with customers' fitness routines and lifestyles. In this Alteryx case study, you will analyze real-world fitness tracker data to identify app usage patterns, assess customers' fitness levels, and understand their schedules. As you analyze the data, you'll provide feedback to Bellabeat, a fitness product company, on potential product improvements and marketing strategies. You will use your Alteryx skills to prepare, transform, and blend data to derive actionable insights. By consolidating your findings into a single, comprehensive table, you'll effectively communicate insights to the Bellabeat team, demonstrating the practical application of your Alteryx skills. Whether you're a data enthusiast, aspiring analyst, or seasoned professional looking to enhance your Alteryx proficiency, this course provides the perfect opportunity to apply your skills to a real-world dataset.

• Journey Into Data
• Understand what is a case study and what are the steps included in data analysis process .
  Learn how to perform basic data check by finding - unique Ids, duplicate rows and NULL values.
  Practice how to create calculated fields .
• Diving Further Into Data
• This chapter covers date field conversion, dataset integration through joins, average calculations, and the determination of activity/sitting thresholds and BMI categories to enable comprehensive user analysis.
• Wrapping Up
• Explore date transformations, activity level comparisons, and inference-based recommendations using Alteryx tools like Union, Sort, Transpose, and Crosstab in fitness-tracking data analysis.