📊 Google Data Analytics Certificate Projects 📈
Explore my hands-on projects and assignments completed as part of the Google Data Analytics Professional Certificate. Gain insights into data cleaning, analysis, and visualization using tools like spreadsheets, SQL, R programming, and Tableau. Ready to dive into the world of data analytics! 💻🔍 #DataScience #DataAnalytics #GitHubProjects
Welcome to the Cyclistic bike-share analysis case study! In this case study, you'll be delving into the world of data analysis as a member of the marketing analyst team at Cyclistic, a fictional bike-share company based in Chicago. Your primary objective is to understand the usage patterns of casual riders and annual members in order to devise a strategic marketing plan aimed at increasing annual memberships.
As a junior data analyst at Cyclistic, you've been tasked with analyzing the behavior of Cyclistic's customers to identify key differences between casual riders and annual members. By uncovering insights into how these two groups use Cyclistic bikes differently, your team aims to develop a targeted marketing strategy to encourage casual riders to transition into annual memberships. Your recommendations must be data-driven and supported by compelling insights and professional data visualizations in order to gain approval from Cyclistic executives.
To guide you through the analysis process, follow the steps outlined in the Case Study Roadmap. This roadmap includes guiding questions and key tasks to help you effectively analyze the data, share your findings, and propose actionable recommendations to drive Cyclistic's future success.
Welcome to the Bellabeat wellness technology case study! This document explores the data analysis journey undertaken by Bellabeat, a company dedicated to developing health-focused products tailored for women. The primary objective is to analyze data from smart device usage to gain insights into consumer behaviors. These insights will inform Bellabeat’s marketing strategies, leveraging trends within smart device utilization by their target demographic. This case study covers the complete data analysis process, including data preparation, thorough analysis, presentation of findings, and formulation of strategic recommendations. This comprehensive approach showcases the power of leveraging data-driven insights to enhance business expansion and marketing effectiveness.
Bellabeat stands as a trailblazer in health-oriented technology products for women, offering aesthetically pleasing yet empowering solutions since its inception in 2013. Co-founded by Urška Sršen and Sando Mur, Bellabeat amalgamates Sršen’s artistic flair with cutting-edge technology to deliver innovative wellness products. The company has experienced rapid growth, solidifying its status as a technology-driven wellness brand for women.
In this theoretical scenario, I serve as a junior data analyst within Bellabeat's marketing analysis team. Focused on the Bellabeat app, our task is to scrutinize smart device data to unearth usage patterns among consumers. These insights will shape Bellabeat’s marketing strategies. My responsibility entails compiling findings and strategic recommendations to present to the Bellabeat executive team.
Principal observations from the data analysis include:
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Activity Range: The spectrum of user activity levels is broad, with total steps ranging from 0 to 36,019. The average daily step count is 7,638, with implications for health and fitness.
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Distance and Calories: There's notable variation in total distance covered (from 0 to 28.03 miles) and calories burned (from 0 to 4,900), highlighting diversity in physical activity and metabolic rates across users.
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Active vs. Sedentary Minutes: Sedentary minutes average 991 per day, suggesting a significant portion of the day is spent inactive.
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Sleep Patterns: Sleep data demonstrates a wide range of sleep durations (from 58 to 796 minutes), with the median sleep duration of 432.5 minutes pointing to an average of approximately 7 hours of sleep per user.
Incorporating these insights into targeted marketing strategies will enable Bellabeat to address specific user needs and preferences, fostering greater engagement and loyalty to the brand. Additionally, the inclusion of additional datasets and demographic information is recommended for a comprehensive analysis, ensuring relevance and precision in linking behavioral patterns to specific demographic categories.