I run an online, data-driven business and need personalised guidance to turn the numbers we collect into clear, actionable insights. I’m looking for an experienced data analyst who can coach me through the fundamentals and intermediate techniques of statistical analysis, exclusively in Python. What I’m after: • A structured learning plan that fits a medium-sized budget and my real-world business questions. • Weekly live sessions (screen-sharing via Zoom, Meet, or similar) where we walk through concepts, code, and my own datasets. • Hands-on exercises covering descriptive stats, hypothesis testing, regression, A/B testing, and basic forecasting, using pandas, NumPy, SciPy, statsmodels, and relevant visualisation libraries. • Practical assignments with feedback, plus reusable Python notebooks or scripts I can adapt to my workflow. • Session recordings or concise recap notes so I can revisit the material. I’m comfortable scheduling 2–4 hours per week and can be flexible on timezone. Clear communication, patience, and the ability to relate examples back to an e-commerce–style dataset will be highly valued. If mentoring and data storytelling are your strengths, let’s connect and map out the first lesson.