Project Summary:
• Analyzed the characteristics and valuation data of hundreds of startup founders using BigQuery SQL for data cleaning, Mode Analytics for reporting, and Python for statistical analysis, uncovering insights about the influence of founders' backgrounds on startup success
Dataset Details:
• The “Startup Founder Valuations Dataset” is a Kaggle dataset that describes the characteristics of hundreds of startup founders, including their previous work experience, academic background, educational attainment, as well as their startup valuations across several rounds of funding
• The dataset was initially put together by an organization called FirmAI, which is a centralized repository of academic research and public data
• This dataset contains two CSV files titled startup_founder_chars
and startup_valuations
• For more info, visit: https://www.kaggle.com/datasets/firmai/startup-founder-valuations-dataset
Data Processing and Analysis:
• Data downloaded from Kaggle, uploaded into BigQuery as two tables, then connected to Mode Analytics
• Data cleaning and analysis performed in SQL, charts and dashboard built using Report Builder in Mode, and statistical tests performed in Python