Objective:
      
        As part of my Google Data Analytics Professional Certification, 
        I completed a capstone project focused on this case study:
        A company sought to determine whether there were significant differences in 
        engagement between casual riders and membership riders. The objective was to 
        analyze the available data, understand the factors influencing casual riders' behavior, 
        and identify actionable strategies to encourage them to transition to membership.
      Project:
       
        I combined and analyzed large datasets using Tableau, 
        leveraging calculated columns to uncover key data trends. 
        By identifying significant relationships within the data, 
        I developed actionable business recommendations aimed at converting casual riders into membership riders.
    
  
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Objective:
      
        To investigate the potential correlation between the Food Price Index and the Stock Market Price Index, 
        leveraging Tableau to visualize trends and uncover insights. 
        The aim is to analyze the interplay between these economic indicators and 
        provide data-driven observations that can inform financial and agricultural strategies.
      Project:
       
        This project analyzes public data from the Food & Agriculture Organization's Food Price Index and 
        the S&P 500 adjusted close prices. The data was examined using the Spearman Correlation Coefficient to 
        evaluate the relationship between the two indices. A P-value was calculated to statistically determine the existence and 
        strength of any correlation.
    
  
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