Statistics reveal that a significant 80% of the data science community is eager for content showcasing real-world applications. Topics in high demand include using time series forecasting to pinpoint optimal locations for hydro power plants. Another popular subject is developing key performance indicator (KPI) metrics to monitor product or business health. Additionally, there’s interest in modeling customer lifetime value (CLV) for B2B businesses, particularly those where revenue is concentrated among a few accounts. Other sought-after topics include applying quasi-experiments to assess marketing campaign impacts, prioritizing various generative AI opportunities, and detecting survey fraud through mouse movement analysis. These statistics highlight the community’s desire for practical, applicable data science insights.
Source: www.reddit.com

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