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Case Study: Analyzing Fitness Data in Alteryx

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

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3 Hours4 Videos20 Exercises

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Course Description

Introduction to Fitness Data Analysis

In the rapidly evolving fitness product industry, the ability to analyze and interpret real-world data is invaluable. This case study leverages Alteryx to delve into fitness tracker data, scrutinize app usage patterns, and evaluate users' fitness levels. You will extract meaningful insights that reflect customers' daily routines and preferences, which are crucial for developing targeted marketing strategies and innovative products for Bellabeat, a leader in the fitness product space.

Developing Insights with Alteryx

Throughout this case study, you will utilize your Alteryx skills to prepare, transform, and join various datasets to uncover hidden patterns and trends. This hands-on experience enhances your proficiency with Alteryx and teaches you to construct a comprehensive table consolidating all key findings. This structured approach ensures that your insights are clear and actionable, aiding Bellabeat make data-driven decisions to refine its product offerings and market positioning.

Application and Impact

By the end of this case study, your analysis will culminate in a detailed feedback report to Bellabeat’s management team, highlighting potential areas for product enhancement and innovative marketing tactics. Whether you are just starting out in data analytics or are looking to hone existing skills, this case study provides a realistic scenario to apply Alteryx.

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  1. 1

    Journey Into Data

    Free

    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 .

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    Journey into data
    50 xp
    Alteryx capabilities
    100 xp
    Importing data and modifying data type
    100 xp
    Finding and replacing NULL values
    100 xp
    Count unique id's and find duplicate rows
    100 xp
    Find average steps
    100 xp
    Possible next steps
    50 xp
  2. 2

    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.

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  3. 3

    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.

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Datasets

Exercises and Datasets

Collaborators

Collaborator's avatar
Carl Rosseel
Collaborator's avatar
Maarten Van den Broeck
Giniya Gupta HeadshotGiniya Gupta

Senior Analyst at MasterCard

Giniya is a Senior Analyst at Mastercard, where she focuses on converting data into insights using Tableau, Alteryx, SQL, and Python. Previously, she worked as a Data Visualization Engineer at Bayer. Giniya holds a Master's degree in Data Science.
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