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🧠 Weekly Challenge

Data Project by 23andMe: Sales Data Analysis

This technical project, used by 23andMe during hiring, involves analysing 50 weeks of timestamped sales data. You’ll identify trends, detect anomalies, test statistical significance, and segment sales by gender and time of day. It’s a practical test of your skills in data wrangling, visualisation, and analysis using Python.

Skills You’ll Master:

This project is packed with core data science techniques used in real-world jobs:

• Reading and combining multiple CSVs with glob and pandas
• Time series manipulation and grouping with .dt.floor() and .groupby()
• Creating and formatting plots using matplotlib
• Statistical testing using scipy.stats.ttest_1samp
• Exploratory data analysis (EDA) with gender segmentation
• Feature engineering (e.g., creating day_part from sale_time)
• Calculating proportions and generating summary tables
• Comparing patterns over time using dual-axis plotting

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