Explore low-risk investment strategies using Python and data science libraries in this 29-minute video tutorial. Learn to create low-risk portfolios, calculate diversifiable and non-diversifiable risk, analyze return on investment, identify top-performing stocks, and understand the impact of correlation on risk. Dive into topics such as security weighting, diversification across stock sectors, and more. Utilize provided code files and stock data to follow along with practical examples and gain hands-on experience in applying Python to financial analysis and investment decision-making.