Data science collects and analyzes digital data to extract insights and make informed decisions. It combines statistics, mathematics, AI, computer science, and business. Data can be structured (numeric/text) or unstructured (images, videos)
Determine the number of numbers in your sample. Identify the type of data being analyzed. Ensure all numbers are needed for the mean calculation
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NPS measures customer experience quality based on likelihood to recommend. Score ranges from -100 to 100, indicating brand happiness. Calculated by subtracting percentage of detractors from promoters
NPS measures customer satisfaction and loyalty created by Bain & Company in 2003. Customers rate likelihood to recommend on 0-10 scale. Scores above 0 are good, above 20 great, above 50 amazing
Standard error measures sample mean dispersion from raw data. Formula: S.E = s/√n, where s is standard deviation and n is sample size. Standard deviation measures data value dispersion, SEM includes theoretical distribution