Generating Mock Data with Python - NumPy, Pandas, and Datetime Libraries

Generating Mock Data with Python - NumPy, Pandas, and Datetime Libraries

Learn how to generate realistic mock data for sales analysis using Python in this comprehensive tutorial video. Explore the power of NumPy, Pandas, and Datetime libraries to create a sales dataset from scratch. Master techniques for simulating product purchases, implementing normal and geometric distributions, generating realistic timestamps, and creating random addresses. Discover how to improve code efficiency, add multiple item correlations, and produce 12 months of data across separate CSV files. Gain practical skills in data manipulation and synthetic dataset creation for data science projects.